This table lists the benchmark results for the low-res two-view scenario. This benchmark evaluates the Middlebury stereo metrics (for all metrics, smaller is better):

The mask determines whether the metric is evaluated for all pixels with ground truth, or only for pixels which are visible in both images (non-occluded).
The coverage selector allows to limit the table to results for all pixels (dense), or a given minimum fraction of pixels.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click one or more dataset result cells or column headers to show visualizations. Most visualizations are only available for training datasets. The visualizations may not work with mobile browsers.




Method Infoalldeliv. area 1ldeliv. area 1sdeliv. area 2ldeliv. area 2sdeliv. area 3ldeliv. area 3select. 1lelect. 1select. 2lelect. 2select. 3lelect. 3sfacade 1sforest 1sforest 2splayg. 1lplayg. 1splayg. 2lplayg. 2splayg. 3lplayg. 3sterra. 1sterra. 2sterra. 1lterra. 1sterra. 2lterra. 2s
sorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
ProNettwo views0.34
1
0.17
2
0.37
4
0.02
1
0.00
1
0.19
11
0.38
60
0.31
5
0.03
1
0.00
1
0.96
34
0.20
1
0.01
1
0.12
13
1.98
5
0.97
2
0.66
5
0.07
2
0.38
1
0.05
1
0.48
1
0.19
1
0.61
29
0.07
3
0.44
7
0.01
1
0.49
1
0.00
1
CroCo-Stereo Lap2two views0.41
2
0.26
3
0.06
2
0.06
2
0.08
6
0.01
1
0.01
2
0.26
3
0.13
7
0.94
13
0.00
1
0.34
5
0.04
3
0.01
1
1.90
4
2.20
14
0.23
1
0.29
4
0.72
3
0.09
3
1.14
7
1.10
10
0.01
3
0.05
1
0.40
6
0.12
4
0.56
2
0.03
4
CroCo-Stereocopylefttwo views0.46
3
0.29
4
0.05
1
0.07
3
0.11
7
0.03
2
0.00
1
0.20
2
0.14
8
0.11
3
0.00
1
0.44
7
0.03
2
0.01
1
2.56
12
2.20
14
0.34
2
0.29
4
0.88
5
0.09
3
1.53
10
1.58
17
0.01
3
0.06
2
0.36
5
0.20
6
0.68
3
0.03
4
P.Weinzaepfel, T. Lucas, V. Leroy, Y. Cabon, V. Arora, R. Bregier, G. Csurka, L. Antsfeld, B. Chidlovskii, J. Revaud: CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow. ICCV 2023
StereoVisiontwo views0.50
4
0.56
7
0.24
3
0.07
3
0.07
5
0.13
6
0.05
16
0.26
3
0.26
16
0.51
8
0.00
1
0.24
3
0.04
3
0.04
6
2.09
6
1.78
5
0.64
4
0.17
3
0.71
2
0.12
5
0.62
2
0.91
7
0.00
1
0.10
6
0.33
4
0.23
10
3.30
14
0.16
7
RAFTtwo views0.51
5
0.10
1
0.40
5
0.09
5
0.01
2
0.21
15
0.15
41
2.74
19
0.06
2
1.09
14
0.00
1
0.21
2
0.05
5
0.02
4
1.05
1
0.90
1
0.35
3
0.05
1
1.39
9
0.30
8
0.74
4
0.58
5
0.00
1
0.09
4
0.14
1
0.05
3
2.94
13
0.01
2
AEACVtwo views0.75
6
2.37
28
0.78
23
0.15
7
0.13
8
0.15
9
0.06
18
0.10
1
0.09
4
0.00
1
0.00
1
0.54
9
0.28
12
0.05
8
2.24
8
1.86
7
1.67
17
0.48
7
2.18
17
0.72
20
2.19
16
1.85
21
0.15
6
0.09
4
0.20
2
0.27
11
1.73
6
0.02
3
delettwo views1.00
7
1.38
13
0.86
26
0.34
15
0.99
53
1.00
52
0.38
60
0.91
7
0.18
11
1.23
15
0.46
24
0.68
10
0.37
21
0.79
87
3.35
18
1.81
6
1.37
9
0.77
10
0.86
4
0.53
14
1.57
11
0.48
4
0.46
22
0.62
46
0.84
15
0.22
8
3.65
16
1.02
15
TDLMtwo views1.02
8
1.64
16
1.38
51
0.37
18
0.90
44
0.67
41
0.76
88
2.31
17
0.18
11
0.25
4
2.96
65
2.21
24
0.64
34
0.31
35
1.15
2
1.45
3
1.52
15
0.93
12
0.98
6
0.67
18
0.98
5
0.42
3
0.64
32
0.39
24
0.23
3
0.19
5
1.76
7
1.68
23
anonymousdsptwo views1.11
9
0.53
6
0.70
13
0.35
16
0.24
12
0.19
11
0.01
2
2.12
15
0.12
6
0.28
5
0.32
22
1.24
13
0.24
10
0.12
13
2.76
13
2.27
17
1.37
9
1.14
17
1.99
13
0.91
22
3.63
34
2.61
31
0.46
22
0.19
11
0.73
11
0.03
2
5.14
26
0.16
7
iRaftStereo_RVCtwo views1.19
10
1.36
12
0.77
16
0.41
21
0.28
19
0.28
23
0.01
2
3.64
25
0.21
13
0.42
6
1.74
47
1.58
16
0.30
14
0.16
18
2.24
8
2.10
12
1.62
16
0.70
9
2.00
14
0.42
11
2.95
22
2.78
32
0.39
18
0.26
15
0.74
12
0.22
8
3.64
15
0.86
12
AASNettwo views1.22
11
2.00
20
0.89
27
0.43
24
1.99
92
1.14
54
0.48
69
2.04
14
0.14
8
0.51
8
0.89
32
0.50
8
0.20
7
0.40
45
3.90
24
1.95
9
1.29
7
1.75
33
1.62
12
1.12
26
1.97
14
1.71
18
0.72
39
0.51
33
1.03
19
0.32
14
2.81
11
0.65
11
RYNettwo views1.33
12
0.39
5
0.40
5
0.17
9
0.24
12
0.47
32
0.05
16
1.74
10
1.23
74
0.44
7
0.14
13
0.32
4
0.20
7
0.01
1
5.64
49
1.64
4
0.82
6
3.63
74
1.17
7
0.08
2
1.02
6
0.26
2
0.26
10
0.23
13
1.45
28
10.04
116
2.88
12
0.99
14
AANet_RVCtwo views1.37
13
0.66
8
0.62
12
0.25
11
1.74
79
0.10
4
0.67
85
1.93
12
1.51
86
0.84
12
0.26
20
0.38
6
0.91
39
0.19
19
4.34
37
2.69
19
1.41
11
1.28
22
1.30
8
1.13
27
0.73
3
0.94
8
0.25
9
0.51
33
1.68
32
1.46
30
3.94
19
5.33
56
RAFT + AFFtwo views1.46
14
0.92
11
0.53
8
0.40
20
0.04
3
0.51
38
0.02
5
3.71
26
0.11
5
2.77
30
0.00
1
3.68
40
0.34
19
0.12
13
5.69
51
2.03
10
2.88
25
0.36
6
5.48
35
0.27
7
4.19
47
1.25
11
0.21
8
0.18
10
1.91
35
0.31
13
1.40
5
0.12
6
StereoIMtwo views1.47
15
0.79
10
0.48
7
0.15
7
0.38
23
0.08
3
0.06
18
0.40
6
0.41
26
1.99
21
0.00
1
1.07
12
0.13
6
0.02
4
3.18
16
2.92
22
2.53
22
1.79
34
5.43
34
0.76
21
2.42
17
2.23
24
0.31
13
0.26
15
2.60
41
2.33
42
2.20
8
4.80
52
MMNettwo views1.47
15
1.42
15
0.77
16
0.38
19
1.31
69
0.40
27
0.41
63
2.03
13
0.60
38
0.59
10
1.41
41
1.71
19
0.29
13
1.11
102
4.13
33
2.32
18
2.38
21
1.85
35
2.96
21
1.59
39
1.76
13
0.67
6
0.69
36
1.09
71
1.07
20
0.92
23
4.71
22
1.02
15
MIF-Stereotwo views1.58
17
0.76
9
0.60
11
0.11
6
0.32
21
0.19
11
0.03
7
2.21
16
0.34
21
4.40
53
0.00
1
2.37
25
0.32
15
0.05
8
3.96
31
3.80
45
2.25
20
1.61
30
6.17
52
0.64
16
3.66
35
2.14
22
0.45
21
0.39
24
1.01
18
1.65
35
1.17
4
2.06
28
test_5two views1.60
18
3.48
54
0.54
9
0.18
10
0.06
4
0.23
19
0.03
7
5.33
40
0.27
17
1.64
18
1.35
39
3.71
41
1.93
80
0.23
20
4.32
35
3.32
31
1.42
12
1.29
24
2.63
19
0.35
10
1.40
9
2.80
33
0.08
5
0.39
24
0.54
8
0.20
6
5.14
26
0.43
10
CVANet_RVCtwo views1.68
19
2.90
37
2.47
77
2.89
100
1.15
66
2.50
87
1.35
98
3.81
28
0.39
25
0.59
10
4.79
81
2.85
32
0.62
31
0.52
56
1.71
3
2.12
13
1.49
13
1.21
18
1.54
10
1.42
33
1.98
15
1.37
13
0.60
28
0.46
30
0.61
10
0.35
17
2.29
9
1.34
18
DMCAtwo views1.74
20
2.24
26
1.84
59
0.49
27
0.92
46
1.14
54
0.13
37
1.67
9
1.22
73
1.86
20
2.71
60
2.80
31
0.32
15
0.80
88
3.91
25
3.06
26
2.68
23
2.46
48
2.04
15
1.09
24
2.71
19
1.41
16
0.88
58
0.76
53
0.83
14
1.23
27
3.78
18
2.08
29
RAFT_CTSACEtwo views1.80
21
3.98
64
0.77
16
0.63
35
0.30
20
0.28
23
0.03
7
5.40
42
0.17
10
8.06
96
0.26
20
3.50
38
1.29
54
0.27
31
2.19
7
2.25
16
1.31
8
0.55
8
2.14
16
0.25
6
2.51
18
4.48
70
0.64
32
0.28
19
0.82
13
0.32
14
5.60
34
0.28
9
MIF-Stereo (partial)two views1.81
22
4.50
90
0.75
14
0.33
14
0.68
34
0.27
21
0.12
35
1.52
8
0.53
34
1.31
16
0.03
11
1.02
11
0.50
27
0.13
16
3.75
22
4.15
63
3.64
35
2.41
47
2.72
20
0.67
18
3.40
27
2.87
36
0.44
20
0.46
30
1.62
30
1.84
37
5.04
24
4.09
47
AFF-stereotwo views1.82
23
2.26
27
1.46
54
0.48
26
0.25
15
1.34
61
0.06
18
5.02
39
0.67
41
2.94
33
0.38
23
2.43
28
0.54
28
0.04
6
2.36
10
2.98
23
1.50
14
1.28
22
6.14
51
0.46
13
2.84
21
1.37
13
0.59
27
0.24
14
2.68
42
2.72
46
4.81
23
1.35
19
GANettwo views1.82
23
1.64
16
1.45
53
1.64
70
1.59
76
3.29
102
1.37
99
3.97
31
0.80
45
1.49
17
1.65
45
4.25
47
0.33
17
0.55
60
2.45
11
2.07
11
3.11
28
3.41
69
1.60
11
0.45
12
1.32
8
0.94
8
0.87
56
0.89
60
1.39
27
0.46
19
3.70
17
2.40
36
MIM_Stereotwo views1.95
25
4.20
74
1.15
41
0.66
37
0.48
26
0.54
39
0.10
26
4.26
36
0.35
22
3.18
39
0.24
18
2.64
30
0.33
17
0.37
41
3.71
20
3.67
40
3.04
26
2.25
45
4.58
27
1.35
31
4.11
44
2.85
35
0.49
24
0.44
28
0.97
17
0.59
20
4.57
20
1.60
21
test crocotwo views2.08
26
4.58
92
0.78
23
0.45
25
1.13
64
0.30
25
0.09
25
3.41
21
0.38
24
3.93
48
0.01
9
1.70
18
0.40
23
0.07
11
4.24
34
4.24
67
3.66
36
2.76
51
5.86
44
0.31
9
3.28
26
3.58
49
0.15
6
0.47
32
1.63
31
1.64
34
2.57
10
4.57
50
RAFT+CT+SAtwo views2.12
27
4.55
91
0.77
16
0.68
43
0.20
10
0.11
5
0.03
7
6.05
51
0.25
15
6.05
71
0.01
9
4.53
52
1.70
73
0.35
39
2.99
14
3.98
54
1.76
18
1.41
27
4.23
25
0.66
17
4.06
42
4.89
81
0.26
10
0.39
24
0.88
16
0.33
16
5.32
31
0.92
13
ARAFTtwo views2.39
28
3.85
60
0.89
27
0.42
23
0.20
10
0.19
11
0.02
5
3.46
22
0.27
17
4.75
55
1.66
46
2.06
21
0.39
22
0.50
54
6.13
70
4.10
62
4.82
56
4.26
97
5.12
31
1.32
30
5.68
74
3.03
37
0.61
29
0.21
12
3.58
49
0.29
12
5.21
29
1.60
21
UPFNettwo views2.49
29
1.99
19
2.37
74
1.34
64
2.02
95
2.42
85
1.28
97
4.05
33
1.40
79
2.80
31
2.31
52
1.94
20
0.62
31
1.73
125
6.03
62
3.15
28
3.86
40
3.15
65
5.50
39
3.22
93
1.74
12
1.29
12
1.15
84
1.10
72
2.08
37
1.13
25
5.67
36
1.81
24
raft+_RVCtwo views2.50
30
2.50
31
1.82
57
0.62
34
0.39
24
0.94
48
0.12
35
6.00
49
0.51
31
6.37
76
2.93
64
3.97
44
0.61
30
0.13
16
3.95
26
3.26
30
3.23
29
1.33
25
6.64
61
1.09
24
3.07
24
2.53
29
0.72
39
0.37
23
2.72
44
2.42
43
6.25
51
3.14
43
TESTrafttwo views2.52
31
4.45
88
0.77
16
0.55
30
0.24
12
0.15
9
0.10
26
5.57
43
0.37
23
5.42
62
0.24
18
1.63
17
2.10
94
1.16
105
6.48
81
4.71
87
3.39
31
1.01
13
4.62
28
1.20
28
3.66
35
7.30
112
0.36
15
0.61
45
1.11
21
2.78
47
5.69
37
2.43
37
test_4two views2.66
32
2.69
33
2.24
69
0.64
36
0.43
25
0.45
31
0.29
57
7.08
63
0.21
13
13.81
155
0.17
14
5.08
58
0.55
29
0.25
25
3.14
15
3.74
42
3.62
34
2.05
40
3.70
24
1.04
23
3.58
32
3.56
47
0.67
35
0.36
22
1.58
29
2.25
41
5.99
47
2.50
38
RAFT-Stereo + iAFFtwo views2.66
32
3.98
64
2.74
81
0.66
37
0.54
29
1.38
62
0.08
23
8.29
79
1.10
66
2.81
32
1.79
48
4.55
53
0.62
31
0.05
8
3.26
17
3.00
24
2.86
24
1.01
13
7.25
64
1.55
38
3.90
38
2.28
25
0.86
53
0.54
36
5.14
72
2.58
44
5.87
45
3.12
42
LL-Strereo2two views2.73
34
2.07
22
1.31
48
0.41
21
0.33
22
0.40
27
0.04
13
7.25
67
0.46
30
11.56
131
1.61
44
3.45
37
0.40
23
1.65
121
3.89
23
3.61
38
3.85
39
1.35
26
8.89
82
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TestStereo1two views2.77
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SA-5Ktwo views2.77
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FINETtwo views2.77
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anonymousdsp2two views2.91
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HCRNettwo views2.91
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HITNettwo views3.05
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Vladimir Tankovich, Christian Häne, Yinda Zhang, Adarsh Kowdle, Sean Fanello, Sofien Bouaziz: HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching. CVPR 2021
CAStwo views3.22
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IERtwo views3.28
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GMStereopermissivetwo views3.35
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Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger: Unifying Flow, Stereo and Depth Estimation. TPAMI 2023
RALAANettwo views3.52
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RASNettwo views3.53
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4D-IteraStereotwo views3.57
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rafts_anoytwo views3.60
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CIPLGtwo views3.61
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ACREtwo views3.62
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IPLGR_Ctwo views3.64
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AnonymousMtwo views3.65
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DMCA-RVCcopylefttwo views3.69
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LoS_RVCtwo views3.70
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tt_lltwo views3.70
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UNettwo views3.74
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HGLStereotwo views3.76
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IPLGtwo views3.82
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4.42
102
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6.79
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5.17
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SAtwo views3.89
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0.91
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1.14
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13.98
157
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117
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80
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GMOStereotwo views3.91
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91
2.37
32
error versiontwo views3.91
59
3.72
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1.64
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0.91
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170
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72
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81
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75
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60
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119
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48
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37
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84
3.33
55
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91
2.37
32
test-vtwo views3.91
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3.72
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8.76
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65
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72
5.04
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3.33
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2.37
32
test-2two views3.91
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0.92
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1.12
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8.76
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RALCasStereoNettwo views3.91
59
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108
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91
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61
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68
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71
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84
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103
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84
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73
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28
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60
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68
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82
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105
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32
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51
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68
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52
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95
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79
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78
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70
DISCOtwo views3.96
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62
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83
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99
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115
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125
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134
5.05
56
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106
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26
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90
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39
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64
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48
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84
4.25
96
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79
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94
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49
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56
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102
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75
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58
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81
7.01
60
5.11
54
CASnettwo views3.99
65
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33
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9.21
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54
15.01
170
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58
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132
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53
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33
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47
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26
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33
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15
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107
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31
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101
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46
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34
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28
3.95
53
0.88
22
7.01
60
6.82
72
Junhong Min, Youngpil Jeon: Confidence Aware Stereo Matching for Realistic Cluttered Scenario. ICIP 2024 submissions (1861)
DSFCAtwo views4.04
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5.03
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67
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37
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112
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57
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52
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106
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74
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59
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65
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80
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38
7.60
76
raftrobusttwo views4.09
67
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62
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30
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41
9.53
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42
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150
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97
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63
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46
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43
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92
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90
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66
2.88
58
7.88
67
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66
5.75
75
4.31
63
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101
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42
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89
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87
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46
5.47
58
CREStereo++_RVCtwo views4.28
68
4.68
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4.25
117
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54
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73
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20
0.11
31
7.12
64
1.06
62
8.41
98
2.65
59
8.74
90
7.06
157
0.37
41
4.85
42
5.04
99
8.52
116
1.71
32
5.48
35
1.62
42
6.08
80
3.73
51
1.10
79
0.52
35
4.73
68
3.85
62
10.36
111
10.81
103
Junpeng Jing, Jiankun Li, Pengfei Xiong, Jiangyu Liu, Shuaicheng Liu, Yichen Guo, Xin Deng, Mai Xu, Lai Jiang, Leonid Sigal: Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching. ICCV2023
CFNettwo views4.33
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3.98
64
2.01
63
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2.25
84
0.54
73
6.78
59
0.88
49
4.20
52
5.09
88
17.09
154
2.33
108
0.48
52
5.67
50
3.01
25
4.34
49
2.87
57
5.36
33
2.39
73
4.04
40
1.79
20
0.77
43
1.05
68
8.67
103
5.50
85
8.59
78
10.37
97
ADLNettwo views4.36
70
5.79
133
2.34
72
2.31
88
3.04
113
3.06
98
1.41
101
6.28
55
1.71
93
3.10
38
5.71
96
16.87
153
2.06
89
10.00
188
5.74
53
3.62
39
4.57
51
3.32
67
5.11
30
2.82
83
3.10
25
4.01
56
1.10
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0.79
56
4.46
62
6.15
91
5.79
43
3.43
45
Sa-1000two views4.52
71
4.36
85
0.94
35
0.95
49
1.37
72
0.99
51
0.19
45
9.48
96
1.23
74
13.79
154
0.78
29
5.33
62
1.84
75
1.70
123
7.36
106
4.84
91
7.91
108
3.69
76
10.07
88
1.73
45
5.79
78
7.50
114
0.33
14
1.39
89
8.06
97
5.66
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10.24
108
4.58
51
CREStereotwo views4.65
72
5.05
114
3.91
111
1.23
60
0.52
27
0.79
44
0.10
26
9.62
101
1.76
95
10.00
113
2.78
63
11.95
114
2.45
110
0.47
51
5.77
56
5.85
118
9.05
121
1.48
28
5.89
45
2.21
67
7.71
111
4.21
60
1.12
82
0.83
57
6.05
81
4.56
75
9.33
89
10.79
101
Jiankun Li, Peisen Wang, Pengfei Xiong, Tao Cai, Ziwei Yan, Lei Yang, Jiangyu Liu, Haoqiang Fan, Shuaicheng Liu: Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation. CVPR 2022
test-3two views4.72
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3.18
45
3.66
107
1.86
80
1.74
79
1.44
66
0.59
77
9.78
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0.51
31
10.97
125
1.51
43
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148
1.15
47
0.64
69
6.55
84
4.09
61
6.92
93
3.09
64
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121
1.92
53
6.27
85
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131
0.89
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75
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67
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48
7.22
65
5.72
64
test_1two views4.72
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45
3.66
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1.86
80
1.75
83
1.44
66
0.59
77
9.79
103
0.51
31
11.07
126
1.49
42
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148
1.16
48
0.64
69
6.53
83
4.08
59
6.87
91
3.07
62
14.39
122
1.91
52
6.26
84
8.28
130
0.87
56
1.11
75
4.69
66
2.89
49
7.26
68
5.71
63
EGLCR-Stereotwo views4.86
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4.87
101
4.24
116
0.66
37
0.92
46
3.38
103
0.04
13
8.65
86
1.15
69
8.90
104
1.19
38
8.78
92
2.32
107
0.67
75
3.49
19
4.65
86
6.35
79
4.19
94
8.22
73
1.79
47
8.98
125
8.12
127
0.90
61
0.78
55
4.37
59
4.84
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14.60
144
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127
PDISCO_ROBtwo views4.91
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3.21
48
2.14
64
2.74
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98
1.51
69
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38
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111
2.49
27
5.41
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4.86
56
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93
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126
6.55
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6.61
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6.04
76
10.49
178
6.22
54
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110
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110
7.17
111
1.15
84
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108
6.10
82
6.17
92
17.36
158
8.08
82
iResNet_ROBtwo views4.93
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4.72
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3.53
103
2.88
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1.64
77
2.62
89
1.84
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7.85
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71
6.17
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4.17
46
8.58
161
0.75
81
6.46
79
4.48
77
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101
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110
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4.43
50
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26
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128
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94
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84
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85
PMTNettwo views4.94
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4.88
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0.87
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0.95
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0.75
42
0.24
52
7.00
62
1.68
90
9.89
112
3.04
66
11.43
105
0.99
44
0.44
47
6.15
71
5.72
112
8.20
110
1.62
31
10.98
95
1.31
29
7.98
115
4.24
62
1.21
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0.27
18
9.00
109
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90
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128
iinet-ftwo views5.03
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3.97
63
2.00
61
2.22
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0.72
35
4.42
111
1.39
100
3.78
27
0.83
47
5.79
67
16.26
182
7.84
83
3.16
121
0.39
43
6.73
93
5.80
117
5.81
70
2.96
60
18.68
148
4.96
114
6.63
95
6.26
97
1.62
115
1.13
79
5.70
78
2.23
40
8.85
83
5.76
65
TestStereotwo views5.06
80
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3.29
96
2.13
86
0.66
33
3.22
100
0.07
21
12.34
141
0.61
39
21.17
198
1.07
36
11.86
110
1.49
67
0.34
38
4.60
39
2.79
20
6.67
87
1.12
16
13.94
115
1.75
46
11.50
150
3.17
40
0.80
46
0.63
47
6.03
80
3.31
52
10.14
107
6.81
71
test_3two views5.18
81
3.24
49
3.52
102
1.97
84
1.82
84
1.38
62
0.57
75
10.49
122
0.58
35
15.72
178
1.14
37
20.47
164
1.21
50
0.59
63
6.11
69
3.99
55
7.17
98
3.73
78
14.43
123
2.01
59
6.36
89
10.05
162
0.79
45
0.97
64
5.22
73
4.31
68
7.31
69
4.84
53
MIPNettwo views5.28
82
5.21
123
2.42
75
0.96
50
1.54
75
1.77
76
1.43
103
9.99
106
1.07
63
5.20
58
5.32
92
11.54
106
3.41
122
0.66
72
7.23
101
5.18
101
8.25
111
4.96
112
10.27
90
4.20
111
3.48
28
8.54
134
1.33
98
1.45
91
8.47
100
10.14
119
7.62
72
10.87
104
DN-CSS_ROBtwo views5.28
82
3.87
61
4.38
121
2.33
90
3.00
112
0.63
40
0.22
50
10.51
124
1.48
83
10.35
118
11.92
157
14.00
136
4.14
134
0.49
53
6.33
74
3.51
35
7.12
97
3.41
69
14.86
126
2.28
70
6.55
93
3.37
42
1.33
98
4.19
148
5.66
77
3.49
59
7.31
69
5.92
67
GLC_STEREOtwo views5.29
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5.26
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3.54
104
1.72
77
2.01
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0.76
43
0.07
21
9.53
99
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44
13.31
151
6.35
105
8.74
90
1.57
71
2.03
128
4.82
41
4.71
87
11.99
159
2.19
41
8.79
81
2.88
86
17.78
193
8.08
125
0.80
46
0.64
49
3.96
55
1.70
36
12.99
131
5.85
66
BEATNet_4xtwo views5.29
84
3.00
39
2.25
70
3.27
105
2.19
100
0.79
44
0.43
64
8.36
80
3.67
132
16.72
184
3.62
70
9.42
95
2.83
117
1.19
107
7.64
114
6.41
124
6.68
88
6.54
139
6.26
56
2.71
81
8.94
123
9.57
149
0.86
53
2.72
122
3.78
50
3.50
60
10.49
115
8.93
89
CFNet_RVCtwo views5.36
86
5.40
128
4.21
115
5.04
121
4.49
130
4.48
112
0.85
91
6.16
53
2.33
113
5.54
63
9.67
140
7.72
82
1.53
69
1.01
100
7.47
109
3.94
51
5.67
69
4.23
95
6.87
62
3.53
95
6.63
95
4.83
79
0.92
63
2.24
114
9.70
119
9.81
112
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103
10.56
98
LMCR-Stereopermissivemany views5.39
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4.30
81
2.89
83
1.13
55
1.91
89
2.74
92
0.11
31
7.55
69
2.14
104
6.83
79
4.10
76
10.39
101
0.87
37
0.60
65
6.86
96
4.92
94
10.03
137
4.62
107
17.39
139
6.52
133
8.52
118
7.79
123
0.95
67
2.04
110
4.45
61
4.62
77
10.48
114
10.75
100
NLCA_NET_v2_RVCtwo views5.52
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5.54
131
4.48
126
3.34
106
8.15
154
2.84
94
11.81
177
6.36
56
7.66
159
5.78
66
5.33
93
13.38
131
1.43
65
6.77
181
8.35
128
3.58
37
3.89
43
2.73
50
6.50
60
2.45
74
4.05
41
3.51
44
1.46
106
1.47
93
4.50
63
9.14
107
6.65
56
7.99
81
Zhibo Rao, Mingyi He, Yuchao Dai, Zhidong Zhu, Bo Li, and Renjie He.: NLCA-Net: A non-local context attention network for stereo matching.
raft_robusttwo views5.58
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4.22
76
1.07
38
1.67
76
0.73
36
1.66
72
0.33
58
10.68
125
1.24
76
28.57
213
1.40
40
8.69
88
2.30
106
0.92
94
5.75
55
5.47
107
6.87
91
4.05
90
12.01
104
2.00
58
7.75
112
8.62
136
0.71
38
1.06
69
6.91
91
8.32
103
9.75
97
7.96
80
iResNetv2_ROBtwo views5.61
90
4.07
70
1.96
60
4.69
117
2.20
101
4.60
114
0.94
93
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83
2.09
103
6.20
73
12.67
162
13.31
130
6.49
154
0.50
54
6.25
72
4.56
80
5.13
63
4.03
89
14.34
120
3.94
105
6.24
82
4.48
70
1.50
109
3.20
130
6.68
88
5.25
82
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98
7.92
79
STTStereotwo views5.68
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6.69
142
6.57
147
3.38
108
5.86
140
3.08
99
9.13
164
5.39
41
4.13
137
4.12
49
7.05
109
10.29
100
3.43
123
6.41
178
9.30
141
3.89
47
4.74
54
5.33
121
6.03
48
2.17
64
5.24
65
3.16
39
1.54
110
1.57
97
5.56
76
8.28
102
7.44
71
13.60
120
AF-Nettwo views5.68
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4.87
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3.58
105
5.01
119
6.35
145
7.34
136
5.88
141
7.21
65
6.61
152
2.00
22
9.35
135
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122
2.84
118
2.93
141
7.30
104
3.90
48
3.88
41
2.77
52
7.90
68
2.87
84
3.53
30
4.34
65
2.43
139
2.29
116
5.03
70
6.54
94
14.92
146
8.95
91
Nwc_Nettwo views5.68
91
4.87
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3.58
105
5.01
119
6.35
145
7.34
136
5.88
141
7.21
65
6.61
152
2.00
22
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135
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122
2.84
118
2.93
141
7.30
104
3.90
48
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41
2.77
52
7.90
68
2.87
84
3.53
30
4.34
65
2.43
139
2.29
116
5.03
70
6.54
94
14.92
146
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91
CFNet_pseudotwo views5.91
94
3.52
55
3.34
99
6.20
133
3.32
115
5.95
128
0.34
59
10.37
115
1.25
77
14.57
166
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152
7.98
85
5.93
150
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134
8.18
125
5.00
97
5.14
64
3.96
86
8.63
80
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90
4.10
43
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45
1.45
105
1.42
90
7.02
92
8.12
100
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118
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110
IPLGRtwo views5.92
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3.26
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1.94
90
1.03
53
0.52
72
10.26
113
0.82
46
8.09
97
9.29
134
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108
2.41
109
0.71
79
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124
4.48
77
6.52
83
6.34
136
15.32
131
5.98
125
5.58
73
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145
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95
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112
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110
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9.23
86
7.80
78
CEStwo views5.95
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2.93
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1.36
50
0.66
37
1.36
71
1.18
57
0.21
49
31.02
203
1.50
84
6.36
75
12.72
163
8.42
87
1.98
86
0.32
37
6.05
63
6.73
127
8.14
109
2.77
52
6.00
47
2.30
71
23.59
212
5.42
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1.63
116
0.32
21
6.88
90
3.82
61
6.83
59
10.13
96
GEStwo views6.26
97
5.53
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2.66
79
2.38
91
2.84
108
5.88
126
2.06
112
7.47
68
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124
9.19
107
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109
4.90
57
1.68
72
3.18
150
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138
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134
11.91
158
6.77
144
21.06
160
6.50
132
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134
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97
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126
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60
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76
8.49
77
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94
ddtwo views6.36
98
5.34
127
1.03
37
23.89
192
0.57
30
11.85
162
0.76
88
8.17
77
0.31
20
7.87
93
0.08
12
25.57
172
0.36
20
0.83
90
7.60
113
4.16
65
14.92
173
2.61
49
19.55
154
2.15
62
4.54
53
2.55
30
0.96
69
1.60
99
6.25
83
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29
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109
6.48
69
FADNet-RVC-Resampletwo views6.37
99
5.32
126
3.05
88
3.36
107
2.81
107
2.60
88
3.63
124
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135
3.30
127
15.15
175
5.22
91
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102
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116
3.27
152
8.23
126
4.64
85
6.41
81
7.30
151
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101
6.67
136
5.47
72
8.56
135
1.55
111
7.75
172
7.40
95
7.54
98
5.73
40
10.79
101
FADNet-RVCtwo views6.53
100
5.05
114
2.54
78
5.38
124
3.47
117
2.08
82
5.59
139
11.63
137
1.70
92
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129
4.99
87
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127
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124
1.64
120
10.47
159
5.41
104
6.66
86
3.92
85
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146
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119
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79
5.74
94
1.05
76
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155
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96
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123
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67
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99
AACVNettwo views6.57
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4.28
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2.00
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6.89
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8.25
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2.06
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9.02
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8.16
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1.92
79
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11.08
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121
6.11
81
5.44
90
2.48
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126
HSMtwo views6.59
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4.59
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4.39
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4.12
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1.77
76
1.59
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13.37
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1.89
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9.18
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4.34
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114
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4.62
84
11.19
152
4.14
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9.64
131
4.84
80
1.32
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113
DLCB_ROBtwo views6.64
103
4.98
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4.42
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2.78
96
3.88
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3.23
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2.91
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6.23
54
3.75
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7.92
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12.04
116
5.57
147
3.10
148
6.52
82
4.32
69
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98
4.49
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5.54
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3.76
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6.52
92
4.47
69
2.84
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8.36
83
DeepPrunerFtwo views6.67
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4.91
107
2.71
80
5.81
128
14.61
183
4.84
116
5.92
143
6.05
51
5.90
149
3.01
35
11.37
153
3.03
35
1.93
80
2.43
130
7.67
117
8.08
146
7.06
96
4.09
91
11.97
103
3.91
103
6.91
100
5.40
88
3.22
149
2.23
113
21.61
186
10.08
117
6.82
58
8.42
84
sCroCo_RVCtwo views6.73
105
3.16
44
1.16
42
0.36
17
0.96
50
3.01
96
0.48
69
9.86
104
3.55
131
5.96
68
3.53
69
4.46
50
4.94
141
0.90
93
8.47
131
12.80
199
12.41
160
8.74
160
18.16
144
6.11
127
16.64
188
13.91
189
0.77
43
2.27
115
9.25
111
7.62
99
13.29
137
9.02
93
sAnonymous2two views6.75
106
3.01
41
1.09
39
0.56
31
0.86
38
3.69
104
0.20
46
13.79
155
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129
3.81
44
5.80
98
5.21
60
3.97
132
0.45
48
9.32
143
9.91
174
11.13
149
9.66
167
19.38
150
7.15
145
10.98
142
11.72
177
1.80
121
1.62
100
9.87
121
10.73
124
10.41
112
12.62
114
CroCo_RVCtwo views6.75
106
3.01
41
1.09
39
0.56
31
0.86
38
3.69
104
0.20
46
13.79
155
3.54
129
3.81
44
5.80
98
5.21
60
3.97
132
0.45
48
9.32
143
9.91
174
11.13
149
9.66
167
19.38
150
7.15
145
10.98
142
11.72
177
1.80
121
1.62
100
9.87
121
10.73
124
10.41
112
12.62
114
APVNettwo views6.75
106
4.23
77
2.36
73
4.05
111
5.00
135
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143
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138
10.42
117
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123
3.74
42
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154
5.09
59
1.52
68
1.53
119
8.48
132
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159
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161
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163
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132
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135
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102
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108
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107
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147
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102
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66
14.92
146
7.68
77
psm_uptwo views6.89
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120
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142
1.89
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111
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167
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78
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102
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77
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143
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143
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103
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95
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115
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107
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106
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108
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60
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50
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59
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156
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136
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148
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125
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105
s12784htwo views7.05
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132
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146
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124
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65
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53
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98
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90
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123
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73
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144
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148
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50
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57
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98
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122
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46
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93
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44
10.37
137
4.63
77
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72
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84
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124
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122
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154
27.67
176
R-Stereo Traintwo views7.06
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124
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115
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79
5.01
117
0.03
7
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120
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116
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147
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125
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84
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72
7.02
98
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150
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147
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121
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128
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101
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135
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150
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64
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82
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132
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145
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81
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123
RAFT-Stereopermissivetwo views7.06
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124
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115
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79
5.01
117
0.03
7
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120
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116
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147
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125
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84
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72
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98
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150
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147
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121
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128
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101
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135
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150
0.94
64
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82
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132
13.69
145
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81
13.64
123
Lahav Lipson, Zachary Teed, and Jia Deng: RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. 3DV
NVstereo2Dtwo views7.07
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72
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82
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132
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125
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170
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184
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75
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115
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43
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116
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69
1.34
60
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215
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158
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129
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114
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137
5.84
43
2.62
79
5.05
58
2.83
34
6.83
184
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140
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126
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72
6.12
49
6.36
68
DeepPruner_ROBtwo views7.23
114
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53
5.83
145
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125
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141
4.54
113
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121
7.68
70
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135
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117
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156
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88
5.30
145
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118
11.36
170
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123
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120
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155
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91
4.28
112
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163
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138
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137
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131
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104
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155
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117
7.52
75
RPtwo views7.25
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148
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165
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150
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149
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139
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159
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81
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161
2.24
24
14.27
174
12.61
121
6.13
152
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147
7.46
107
4.61
83
6.04
76
3.25
66
9.49
86
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103
5.24
65
5.64
93
1.57
112
3.25
132
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118
7.42
97
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119
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117
UCFNet_RVCtwo views7.31
116
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173
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109
8.53
147
6.34
144
5.70
125
1.88
109
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97
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121
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121
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130
24.45
168
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127
0.83
90
7.65
116
3.74
42
5.02
58
4.98
113
9.22
85
4.07
109
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103
4.58
76
2.97
145
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124
14.87
155
9.76
111
9.23
86
13.60
120
TANstereotwo views7.47
117
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78
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96
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97
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110
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106
0.13
37
5.71
44
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88
6.86
81
2.72
61
2.17
22
2.24
101
4.18
161
12.57
176
12.99
200
10.89
145
18.94
209
22.19
165
17.84
201
7.39
108
5.50
91
29.21
222
0.71
51
1.27
25
3.98
64
9.84
99
5.70
61
XX-TBDtwo views7.47
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78
3.29
96
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97
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110
3.88
106
0.13
37
5.71
44
1.55
88
6.86
81
2.72
61
2.17
22
2.24
101
4.18
161
12.57
176
12.99
200
10.89
145
18.94
209
22.19
165
17.84
201
7.39
108
5.50
91
29.21
222
0.71
51
1.27
25
3.98
64
9.84
99
5.70
61
ICVPtwo views7.52
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93
8.97
164
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122
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129
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123
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101
8.26
78
4.13
137
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92
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121
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96
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151
1.18
106
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100
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130
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104
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120
10.96
94
5.33
117
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104
12.60
182
16.70
205
4.49
153
8.80
105
12.28
134
10.58
116
12.26
111
Kwon, Oh-Hun and Zell, Eduard: Image-Coupled Volume Propagation for Stereo Matching. 2023 IEEE International Conference on Image Processing (ICIP)
Any-RAFTtwo views7.56
120
4.67
96
10.19
170
5.61
127
3.24
114
0.94
48
0.71
87
9.86
104
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79
8.52
101
11.08
151
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117
1.05
45
0.54
59
5.73
52
7.53
141
9.41
128
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86
18.38
147
4.03
107
11.34
148
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129
1.60
114
1.55
96
15.63
160
15.41
158
10.13
106
20.95
159
ADCP+two views7.57
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136
6.65
150
4.01
110
4.41
128
6.21
131
8.21
154
8.97
93
15.76
184
4.18
51
12.91
164
16.38
147
1.42
64
3.62
155
6.73
93
5.20
102
5.84
72
4.36
100
13.27
112
3.05
89
6.62
94
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96
2.24
131
1.63
102
7.32
93
18.78
174
8.33
76
16.03
136
Anonymoustwo views7.61
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124
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58
0.90
46
1.33
70
2.67
90
0.38
60
10.84
127
4.49
140
3.02
36
3.25
68
7.46
75
5.25
144
1.32
114
9.52
146
12.04
193
13.30
165
10.40
173
23.69
170
7.60
155
16.62
187
11.29
174
1.79
120
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146
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128
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118
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143
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108
MSMDNettwo views7.75
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128
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133
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75
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91
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83
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92
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116
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84
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130
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117
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107
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129
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98
8.04
123
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183
10.85
144
5.13
117
22.46
168
13.04
187
11.51
151
10.76
170
1.81
124
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102
11.41
130
9.18
108
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136
15.81
135
RAFT-Testtwo views7.86
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117
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127
5.48
126
1.88
86
2.05
78
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94
11.43
136
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82
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137
8.89
129
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118
2.27
103
0.87
92
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118
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181
10.49
141
4.98
113
21.48
161
9.21
166
12.20
158
10.06
163
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121
1.68
105
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142
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121
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138
16.31
137
HHtwo views7.89
125
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29
10.75
174
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103
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104
5.20
121
4.37
129
11.24
133
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108
12.85
140
2.59
56
11.89
111
2.11
95
1.29
111
6.59
88
9.43
165
9.29
124
5.91
130
16.06
135
6.96
141
14.02
172
9.66
152
2.23
129
1.34
86
9.53
115
11.90
132
13.93
141
23.53
164
HanStereotwo views7.89
125
2.46
29
10.75
174
3.19
103
2.51
104
5.20
121
4.37
129
11.24
133
2.24
108
12.85
140
2.59
56
11.89
111
2.11
95
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111
6.59
88
9.43
165
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124
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130
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135
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141
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172
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152
2.23
129
1.34
86
9.53
115
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132
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141
23.53
164
cross-rafttwo views7.92
127
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135
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131
3.42
109
1.99
92
3.02
97
0.56
74
12.35
142
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78
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156
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108
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135
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75
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81
7.47
109
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171
10.47
140
4.26
97
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164
7.48
152
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155
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187
1.78
119
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104
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145
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135
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133
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130
MSKI-zero shottwo views7.94
128
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106
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120
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101
1.70
78
4.00
108
1.44
104
12.93
147
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101
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135
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122
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115
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74
0.61
68
6.29
73
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155
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139
4.09
91
20.51
158
7.15
145
10.78
141
9.52
148
1.14
83
2.63
120
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120
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185
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150
18.86
147
PWCDC_ROBbinarytwo views7.98
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32
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65
1.57
69
3.59
118
2.05
78
1.50
106
4.07
34
26.78
205
1.69
19
12.22
158
3.64
39
46.61
220
9.30
185
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156
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148
6.16
78
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140
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63
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123
6.75
99
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180
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148
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129
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40
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109
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29
11.52
106
EAI-Stereotwo views8.01
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101
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135
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123
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126
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135
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147
13.19
150
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112
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121
6.86
107
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129
1.93
80
1.00
99
9.61
147
9.46
167
9.57
132
4.69
109
18.16
144
8.69
163
8.96
124
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137
1.41
103
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110
11.59
131
8.24
101
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132
19.52
151
FADNettwo views8.23
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138
3.09
90
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129
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119
4.34
109
8.43
156
15.97
169
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120
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177
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159
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134
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142
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127
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153
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100
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67
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128
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169
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124
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120
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106
0.95
67
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121
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139
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149
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88
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125
XX-Stereotwo views8.40
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36
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142
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59
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132
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116
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146
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61
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128
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128
2.17
100
0.59
63
7.84
120
9.52
168
9.36
127
5.44
125
14.15
116
5.72
122
8.92
122
6.58
102
1.26
93
0.63
47
32.29
206
11.47
128
12.55
130
26.75
174
test-1two views8.48
133
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25
4.98
134
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85
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96
10.12
154
1.99
111
15.82
168
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102
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145
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115
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119
2.54
114
0.64
69
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114
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144
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135
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148
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174
7.18
150
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144
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185
1.20
87
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109
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151
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153
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126
19.78
155
MLCVtwo views8.52
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95
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134
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151
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122
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163
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122
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109
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161
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156
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172
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62
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122
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58
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130
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127
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159
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106
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83
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126
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136
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161
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125
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131
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123
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109
pcwnet_v2two views8.61
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67
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137
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149
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133
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141
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123
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122
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136
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153
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167
9.95
98
20.61
181
5.41
173
9.26
140
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116
8.28
112
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118
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97
3.63
97
6.31
87
4.55
73
2.42
138
3.34
137
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150
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142
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139
20.23
156
SACVNettwo views8.62
136
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138
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137
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147
5.68
124
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150
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132
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162
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124
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109
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84
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111
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137
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130
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128
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134
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156
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130
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169
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140
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124
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132
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152
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169
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143
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151
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128
ADCReftwo views8.62
136
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140
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121
2.47
92
4.66
132
8.28
144
7.51
149
8.58
85
14.10
182
6.83
79
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149
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113
3.53
128
3.06
146
8.72
136
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143
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118
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152
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141
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128
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130
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147
4.93
166
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141
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117
18.39
172
9.86
102
18.66
145
TRStereotwo views8.83
138
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162
13.01
189
6.34
134
1.88
86
16.53
180
4.61
132
10.15
112
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70
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120
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78
15.04
142
1.84
75
0.72
80
6.57
87
8.36
153
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117
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101
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102
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115
10.38
138
8.45
133
1.16
86
0.93
62
12.57
141
12.31
136
30.08
190
22.69
163
LoStwo views8.88
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4.05
69
1.28
47
1.18
59
1.51
74
2.83
93
0.20
46
49.84
228
2.23
107
25.23
206
30.02
220
14.66
141
2.13
98
0.53
57
5.74
53
7.35
137
7.89
107
3.07
62
10.61
92
2.17
64
10.65
139
6.56
101
1.57
112
0.87
58
14.16
153
9.04
106
9.21
85
15.09
132
GEStereo_RVCtwo views8.92
140
7.37
147
3.35
100
5.88
130
5.00
135
7.40
138
5.10
135
10.85
128
3.40
128
10.37
119
5.21
90
15.43
143
3.62
130
2.63
136
10.94
165
9.98
177
14.57
171
12.40
191
23.99
172
8.16
159
11.89
154
9.29
146
1.70
117
5.38
157
9.32
114
8.88
105
9.92
104
18.79
146
PS-NSSStwo views8.92
140
10.56
169
2.94
84
20.23
183
6.01
142
13.21
169
7.92
152
14.92
165
1.45
81
18.68
190
0.90
33
43.30
190
4.22
135
3.63
156
6.76
95
3.35
33
5.53
68
3.52
71
19.94
156
2.70
80
3.62
33
1.71
18
3.48
155
0.97
64
8.91
106
8.81
104
8.63
80
14.97
131
SGM-Foresttwo views8.97
142
9.25
166
2.31
71
18.42
179
9.53
163
10.54
158
2.93
120
12.39
143
1.78
96
8.99
105
3.73
71
18.11
158
11.34
169
4.22
163
7.99
121
6.38
122
6.62
85
2.95
59
9.10
84
3.77
99
8.28
116
4.80
78
3.31
150
3.31
136
16.01
162
11.58
129
25.32
182
19.29
149
Johannes L. Schönberger, Sudipta Sinha, Marc Pollefeys: Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching. ECCV 2018
RTSCtwo views9.00
143
4.69
98
4.25
117
4.13
112
5.35
137
6.44
133
5.81
140
10.10
110
9.46
166
6.42
77
13.24
166
6.89
71
6.43
153
3.16
149
11.63
173
8.85
157
14.64
172
6.92
145
19.46
153
6.05
126
11.17
145
9.70
154
1.75
118
5.64
160
8.31
98
9.85
114
13.85
140
28.94
182
anonymitytwo views9.08
144
3.30
51
11.90
181
6.36
135
3.32
115
4.38
110
2.11
114
13.09
148
2.14
104
12.78
138
24.99
207
10.78
103
2.01
87
0.77
83
5.90
59
8.78
156
8.79
119
3.64
75
16.50
137
8.09
158
9.18
127
8.86
139
1.82
125
1.45
91
15.23
159
21.82
189
12.38
127
24.87
170
GANet-ADLtwo views9.10
145
7.28
146
5.18
139
7.24
141
6.79
148
8.88
147
3.94
126
10.88
129
5.35
145
13.12
143
9.94
142
18.49
159
3.48
125
0.67
75
9.63
148
7.42
138
11.69
157
5.51
126
17.72
142
10.52
178
9.26
128
7.40
113
2.98
146
3.73
142
11.03
127
13.06
140
15.27
149
19.21
148
stereogantwo views9.22
146
9.08
163
8.33
159
11.15
159
11.62
175
12.54
166
9.08
163
11.06
131
7.59
158
5.21
59
9.53
139
16.86
152
9.57
165
3.28
153
9.65
149
6.22
121
7.24
101
5.22
119
14.15
116
7.10
144
7.16
107
7.07
110
3.96
158
3.76
143
8.32
99
9.81
112
20.71
170
13.60
120
EKT-Stereotwo views9.40
147
6.93
144
5.29
140
9.99
153
4.49
130
9.39
150
10.24
165
10.33
114
1.86
97
10.09
116
7.09
114
14.17
139
2.04
88
0.82
89
8.66
133
10.08
178
12.72
163
10.67
180
19.67
155
6.85
140
18.66
200
11.56
175
1.08
78
1.76
107
18.60
170
15.03
156
13.09
135
12.67
116
iRaft-Stereo_20wtwo views9.64
148
4.92
108
13.83
194
15.20
172
4.25
127
9.14
148
4.64
133
12.08
139
3.15
125
12.31
136
9.46
138
13.76
133
2.27
103
0.77
83
8.70
135
8.19
149
9.42
129
3.52
71
14.49
124
7.92
156
9.66
132
6.74
107
1.33
98
1.34
86
17.96
168
16.99
165
22.98
177
25.32
171
IGEV_Zeroshot_testtwo views9.84
149
4.19
73
14.24
196
14.55
169
3.97
122
6.77
134
8.88
160
13.23
151
2.33
113
12.89
142
11.00
150
14.00
136
2.57
115
0.78
86
6.41
78
9.61
170
9.97
136
4.56
104
16.98
138
8.01
157
11.37
149
9.81
156
1.26
93
2.77
123
20.84
183
13.68
144
19.70
164
21.20
160
PA-Nettwo views9.95
150
17.79
191
13.14
190
4.86
118
11.72
176
5.03
119
11.63
175
13.76
154
10.83
169
7.45
91
5.67
95
9.12
93
8.54
160
9.52
187
10.98
166
6.60
125
3.46
32
6.66
142
7.76
66
6.80
139
4.83
55
9.05
143
2.30
135
5.54
158
11.20
129
23.05
197
8.19
75
33.08
187
Zhibo Rao, Mingyi He, Yuchao Dai, Zhelun Shen: Patch Attention Network with Generative Adversarial Model for Semi-Supervised Binocular Disparity Prediction.
NCCL2two views10.07
151
9.13
164
9.31
166
6.66
136
6.18
143
5.15
120
3.99
127
12.65
144
7.21
157
14.91
169
8.82
128
11.82
109
4.37
137
3.00
143
11.71
174
9.00
158
9.29
124
7.48
154
12.90
110
7.01
143
13.16
167
11.18
173
4.88
165
7.81
173
19.45
176
19.58
180
14.82
145
20.54
158
CASStwo views10.12
152
5.79
133
5.47
141
7.96
143
5.68
139
8.59
146
5.39
137
16.39
172
5.43
146
21.03
197
10.04
143
14.11
138
3.94
131
0.77
83
8.68
134
6.97
130
15.85
180
6.06
132
24.19
173
6.68
137
12.18
157
10.22
165
2.57
142
2.37
118
16.93
165
11.40
127
17.21
157
21.46
161
Junhong Min, Youngpil Jeon: Confidence-Aware Symmetric Stereo Matching via U-Net Transformer.
NCC-stereotwo views10.18
153
8.77
160
7.25
155
9.61
151
10.25
166
9.82
152
10.40
167
10.44
118
14.05
178
2.32
25
13.76
170
15.72
145
12.69
174
4.10
158
11.13
168
5.74
113
7.76
105
10.24
171
13.60
113
6.21
129
6.74
97
6.62
104
6.26
179
3.79
144
13.26
147
17.07
166
21.78
173
15.57
133
Abc-Nettwo views10.18
153
8.77
160
7.25
155
9.61
151
10.25
166
9.82
152
10.40
167
10.44
118
14.05
178
2.32
25
13.76
170
15.72
145
12.69
174
4.10
158
11.13
168
5.74
113
7.76
105
10.24
171
13.60
113
6.21
129
6.74
97
6.62
104
6.26
179
3.79
144
13.26
147
17.07
166
21.78
173
15.57
133
Xing Li, Yangyu Fan, Guoyun Lv, and Haoyue Ma: Area-based Correlation and Non-local Attention Network for Stereo Matching. The Visual Computer
UDGNettwo views10.26
155
8.45
156
3.50
101
23.52
191
22.01
197
19.33
186
17.38
187
8.53
84
3.15
125
6.28
74
8.15
125
7.27
72
0.49
26
45.27
218
5.89
58
4.08
59
7.49
103
5.36
124
10.11
89
5.48
120
9.04
126
6.61
103
14.31
202
0.77
54
11.67
134
6.19
93
7.72
73
8.93
89
HSM-Net_RVCpermissivetwo views10.31
156
5.58
132
6.64
149
12.79
165
7.83
153
8.37
145
2.17
115
12.08
139
4.75
141
14.71
167
13.23
165
25.19
171
12.41
173
1.01
100
7.46
107
5.69
111
9.68
133
5.80
129
12.33
108
5.37
118
8.78
121
8.95
142
3.34
151
7.42
168
16.51
164
19.09
176
21.38
172
19.75
154
Gengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan: Hierarchical Deep Stereo Matching on High-resolution Images. CVPR 2019
ADCLtwo views10.50
157
10.03
168
7.04
154
7.18
140
5.54
138
10.26
157
10.81
170
14.24
158
19.32
191
14.16
159
15.22
179
14.41
140
4.88
140
4.92
167
8.29
127
7.34
136
9.11
122
6.50
138
15.94
133
6.52
133
12.93
165
10.39
168
5.04
168
4.34
149
12.79
143
15.31
157
12.40
128
18.55
144
FCDSN-DCtwo views11.37
158
11.42
174
11.08
177
12.74
164
10.46
169
10.13
155
13.47
179
14.12
157
2.60
119
14.56
165
1.86
49
7.49
76
2.11
95
4.52
165
18.19
209
16.02
211
19.95
195
17.16
206
12.89
109
8.51
161
16.38
185
9.96
159
3.61
156
17.93
201
12.17
138
13.27
141
11.29
120
13.14
118
Dominik Hirner, Friedrich Fraundorfer: FCDSN-DC: An accurate but lightweight end-to-end trainable neural network for stereo estimation with depth completion.
Anonymous3two views11.53
159
7.69
154
3.27
95
1.73
78
2.85
109
7.82
140
5.00
134
14.29
161
10.32
168
14.16
159
4.86
82
24.64
169
5.75
148
1.19
107
17.24
207
14.45
206
17.03
182
12.98
192
29.47
178
10.30
175
19.88
205
20.00
212
2.84
143
2.89
126
14.98
157
13.96
151
18.36
162
13.25
119
XPNet_ROBtwo views11.67
160
13.20
181
6.63
148
6.03
131
7.57
152
9.37
149
7.79
151
5.83
48
8.72
163
8.51
100
13.75
169
49.51
198
3.49
126
3.24
151
10.60
160
7.51
140
19.13
190
6.96
147
14.33
119
6.24
131
11.17
145
15.75
200
3.65
157
4.83
154
9.30
113
11.04
126
31.52
193
19.58
152
GwcNet-ADLtwo views12.05
161
11.91
176
9.54
167
18.75
180
10.20
165
12.14
165
6.27
145
13.65
153
5.02
142
12.11
134
17.59
188
29.93
177
9.22
163
4.00
157
8.92
137
9.34
163
13.38
166
6.69
143
23.76
171
9.21
166
9.40
129
10.34
167
6.62
182
6.01
163
14.99
158
18.15
170
11.36
122
16.95
140
NOSS_ROBtwo views12.25
162
9.52
167
5.01
136
12.85
166
10.79
171
10.64
159
6.79
146
21.16
184
5.63
148
11.90
133
7.79
122
9.69
97
7.49
158
12.87
194
13.04
184
11.80
190
15.65
178
12.11
188
14.27
118
8.78
165
17.59
192
10.04
161
5.16
171
10.72
184
21.20
184
15.54
159
23.28
179
19.43
150
PSMNet-ADLtwo views12.39
163
8.76
159
8.74
162
10.89
157
9.42
162
10.75
160
8.02
153
14.92
165
7.72
160
22.73
201
14.98
178
26.26
173
26.16
189
2.48
131
10.16
157
9.33
162
11.52
154
6.30
135
25.52
175
10.03
173
11.60
152
8.36
132
6.21
177
4.37
150
13.15
146
14.31
152
22.08
176
9.86
95
NaN_ROBtwo views12.48
164
8.41
155
8.83
163
10.77
156
16.22
186
6.08
130
4.38
131
22.86
187
8.85
164
19.93
195
9.44
137
47.25
196
9.13
162
4.11
160
9.34
145
5.76
115
6.80
89
6.17
133
12.06
105
7.16
148
5.46
71
5.12
84
3.04
147
9.64
177
20.81
182
17.39
168
20.34
167
31.73
184
RGCtwo views12.52
165
11.48
175
13.33
192
12.10
162
11.73
177
14.58
173
6.96
148
14.26
159
16.09
185
7.33
90
19.17
195
17.09
154
21.08
182
7.05
183
13.55
187
8.10
147
9.45
130
7.13
149
14.73
125
7.59
154
8.75
119
7.63
115
5.32
173
6.63
165
15.73
161
20.65
186
20.04
165
20.44
157
iResNettwo views12.61
166
6.71
143
7.79
158
11.09
158
9.16
160
16.35
178
6.20
144
16.82
174
6.96
155
9.88
111
11.60
155
36.53
183
36.96
208
0.60
65
11.02
167
7.50
139
11.26
153
8.35
159
30.61
183
8.24
160
8.37
117
7.68
116
2.25
132
10.72
184
12.41
140
13.01
139
15.81
152
16.57
139
FADNet_RVCtwo views12.83
167
9.18
165
6.00
146
17.32
177
8.43
156
6.02
129
5.16
136
16.68
173
6.01
150
18.67
189
14.01
173
24.78
170
19.64
180
5.79
174
14.83
193
6.97
130
15.41
177
11.47
184
34.21
194
10.48
177
12.80
164
16.02
201
2.14
127
7.31
166
10.14
123
18.66
173
10.33
110
18.00
142
dadtwo views13.38
168
7.58
153
1.49
55
31.22
196
8.43
156
16.14
177
21.04
196
25.65
195
1.53
87
24.43
204
1.06
35
37.14
184
11.36
170
1.70
123
8.35
128
5.36
103
22.07
206
3.72
77
32.83
189
2.57
77
13.11
166
3.50
43
2.20
128
4.41
151
12.90
144
4.07
67
33.22
197
24.21
167
DAStwo views14.01
169
7.50
149
4.63
129
15.17
170
9.04
158
12.00
163
8.70
157
16.36
170
14.09
180
7.12
86
17.14
186
37.20
185
13.71
176
0.98
96
10.73
162
9.30
160
20.85
198
10.44
174
21.80
162
14.68
192
12.26
159
14.17
191
3.43
153
12.61
188
19.28
173
16.51
161
20.40
168
28.09
178
SepStereotwo views14.01
169
7.50
149
4.63
129
15.17
170
9.04
158
12.00
163
8.70
157
16.36
170
14.09
180
7.12
86
17.14
186
37.20
185
13.71
176
0.98
96
10.73
162
9.30
160
20.85
198
10.44
174
21.80
162
14.68
192
12.26
159
14.17
191
3.43
153
12.61
188
19.28
173
16.51
161
20.40
168
28.09
178
HBP-ISPtwo views14.42
171
10.82
172
12.34
182
22.60
189
14.88
184
14.98
174
15.15
182
20.50
182
4.48
139
16.38
182
10.15
144
17.25
157
1.84
75
19.47
206
11.57
172
13.28
202
14.29
169
9.08
162
11.15
98
9.30
169
17.96
196
15.05
196
5.03
167
12.00
187
20.48
181
22.38
195
22.99
178
24.00
166
ccs_robtwo views15.15
172
14.72
185
7.44
157
22.32
188
9.33
161
22.95
192
17.29
186
14.27
160
5.28
143
14.81
168
23.21
206
55.94
207
30.81
196
5.40
172
12.59
178
10.12
180
11.59
155
9.34
165
19.31
149
11.79
183
13.71
170
11.01
171
5.04
168
5.61
159
12.12
137
12.86
138
12.00
124
18.08
143
CBMV_ROBtwo views15.45
173
8.52
157
10.06
169
22.29
187
17.04
188
16.35
178
11.36
174
19.65
178
5.48
147
14.50
164
9.14
131
31.73
178
16.37
179
10.55
190
10.08
155
7.96
145
15.06
175
7.46
153
19.43
152
21.06
208
13.40
168
6.45
100
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8.81
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21.63
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24.29
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29.88
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32.55
186
CBMVpermissivetwo views15.50
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10.69
171
8.40
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16.02
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11.11
173
12.89
167
4.24
128
21.34
185
15.36
183
19.49
194
7.06
112
28.50
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9.40
164
6.42
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13.21
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12.10
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15.07
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12.37
190
16.04
134
9.27
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15.69
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9.92
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4.30
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15.37
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22.30
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18.82
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39.12
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44.05
205
Konstantinos Batsos, Changjiang Cai, Philippos Mordohai: CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation. Computer Vision and Pattern Recognition (CVPR) 2018
LALA_ROBtwo views15.83
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18.32
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10.45
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10.00
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17.62
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10.32
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11.67
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59.62
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17.46
140
9.65
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4.56
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7.33
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11.88
135
19.34
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34.58
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24.50
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ETE_ROBtwo views15.85
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17.19
189
6.97
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12.39
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10.54
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16.82
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8.40
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10.76
126
13.32
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18.44
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58.51
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6.50
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12.65
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9.41
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23.07
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9.86
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20.40
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15.50
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13.68
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5.13
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21.29
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42.78
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24.50
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SFCPSMtwo views16.40
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11.35
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16.02
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10.72
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18.80
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13.84
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13.17
144
20.92
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35.30
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37.96
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6.05
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10.85
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9.55
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12.68
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36.45
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20.65
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13.76
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7.58
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5.97
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16.70
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26.05
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SHDtwo views16.57
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6.93
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12.56
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13.09
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12.68
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10.19
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8.95
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18.72
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31.71
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6.26
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33.55
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11.88
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3.97
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43.14
204
RTStwo views16.64
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7.53
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6.93
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8.17
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7.37
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22.56
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10.89
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7.08
84
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16.42
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10.00
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5.31
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11.76
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20.70
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10.48
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15.87
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4.67
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9.96
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33.09
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54.03
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RTSAtwo views16.64
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7.53
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6.93
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8.17
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7.37
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22.56
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10.89
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7.08
84
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16.42
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10.00
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10.48
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37.62
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17.58
199
15.87
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4.67
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9.96
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26.64
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33.09
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54.03
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FC-DCNNcopylefttwo views16.94
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19.98
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17.50
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30.21
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19.17
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26.56
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24.08
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25.48
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6.76
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19.19
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6.28
104
18.52
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4.41
138
11.03
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15.54
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14.98
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21.04
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18.07
143
9.67
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4.83
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16.43
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23.36
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16.73
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22.02
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22.31
162
AnyNet_C32two views17.17
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8.67
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10.14
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10.45
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14.52
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11.69
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22.97
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18.32
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10.02
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17.12
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11.59
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24.77
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17.43
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26.54
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pmcnntwo views17.48
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5.49
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16.43
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12.67
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20.37
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13.45
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15.73
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6.53
151
9.33
108
16.08
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36.41
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31.77
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1.19
107
10.64
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11.94
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17.58
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11.13
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33.67
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13.41
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18.13
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11.69
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10.16
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10.62
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17.79
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41.23
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46.08
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GANetREF_RVCpermissivetwo views17.96
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13.78
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16.85
202
13.13
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10.91
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12.94
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11.29
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33.74
205
20.83
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27.66
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6.09
101
50.53
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26.27
190
3.04
145
15.18
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7.13
133
11.68
156
10.53
179
31.57
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10.46
176
18.21
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9.24
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8.91
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18.25
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23.10
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15.87
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29.33
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28.45
180
Zhang, Feihu and Prisacariu, Victor and Yang, Ruigang and Torr, Philip HS: GA-Net: Guided Aggregation Net for End- to-end Stereo Matching. CVPR 2019
PWC_ROBbinarytwo views18.14
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12.26
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8.59
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12.83
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10.82
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17.67
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17.38
175
31.50
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8.59
102
16.91
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21.14
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53.99
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6.59
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13.63
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10.19
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23.63
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13.26
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37.72
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14.50
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14.89
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3.38
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15.79
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14.66
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13.71
147
19.36
163
44.89
207
ADCMidtwo views18.65
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13.18
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12.39
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11.76
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14.19
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18.49
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14.99
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26.29
197
26.32
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12.79
139
16.33
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36.18
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23.39
185
7.98
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15.52
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12.49
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21.07
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12.21
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38.30
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12.13
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20.69
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18.31
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12.50
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10.20
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22.89
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20.15
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20.27
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32.52
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MaskLacGwcNet_RVCtwo views18.89
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10.58
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13.21
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21.10
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12.82
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17.68
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22.41
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14.66
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9.25
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11.76
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19.72
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78.32
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24.76
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20.31
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11.52
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9.88
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26.15
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16.66
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32.71
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11.68
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16.68
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13.08
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5.93
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8.18
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19.39
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16.85
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17.65
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27.14
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ADCPNettwo views19.39
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13.87
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11.68
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15.69
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17.32
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15.71
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16.26
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23.07
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18.57
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18.76
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29.47
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10.00
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18.99
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11.55
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34.43
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20.26
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11.08
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34.64
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CSANtwo views20.20
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25.94
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18.99
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19.75
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14.47
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8.99
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28.05
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34.09
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50.93
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4.65
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11.67
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22.32
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26.80
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MDST_ROBtwo views20.31
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32.64
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11.05
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48.15
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25.03
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40.35
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19.18
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18.66
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11.72
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16.23
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7.89
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29.18
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38.42
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1.31
113
9.90
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5.45
106
10.74
142
4.30
99
14.90
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6.70
138
11.78
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5.78
95
6.44
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8.89
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40.87
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31.29
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52.88
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38.56
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CC-Net-ROBtwo views21.26
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37.17
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18.21
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53.24
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41.87
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43.35
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32.25
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28.26
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7.15
156
35.79
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8.18
126
67.30
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6.82
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17.02
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9.70
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3.67
40
10.84
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8.97
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38.52
204
7.29
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6.46
91
4.21
60
12.31
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2.88
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17.19
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13.90
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13.06
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28.51
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SGM-ForestMtwo views21.76
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26.76
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12.74
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38.92
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21.53
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35.95
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23.82
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28.41
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16.51
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14.11
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18.08
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50.37
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31.58
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3.29
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9.31
142
5.58
109
14.41
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6.57
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28.33
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7.58
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12.09
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4.33
64
5.42
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9.98
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40.14
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30.48
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50.62
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40.54
195
MFN_U_SF_DS_RVCtwo views22.03
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20.71
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11.36
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29.18
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18.08
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22.91
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18.43
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37.55
215
24.02
201
32.04
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14.86
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46.12
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35.56
204
14.85
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15.04
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10.88
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10.38
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7.76
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33.34
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8.77
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15.08
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15.67
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15.43
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13.32
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31.89
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26.93
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32.93
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31.67
183
DDUNettwo views22.09
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28.93
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10.71
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44.13
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38.12
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44.55
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45.65
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10.93
130
12.67
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9.01
106
19.31
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20.40
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4.73
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90.87
233
15.39
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11.80
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19.61
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9.59
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29.64
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11.01
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17.32
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15.62
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18.79
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6.18
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13.56
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14.63
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15.99
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17.27
141
SGM_RVCbinarytwo views22.30
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26.60
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13.45
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40.22
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26.52
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36.56
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24.02
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27.37
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17.51
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17.98
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18.03
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43.52
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37.60
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2.18
129
9.83
151
5.94
119
13.03
164
6.93
146
30.45
181
8.54
162
12.39
162
4.12
59
5.16
171
11.77
186
36.42
213
27.38
207
52.67
222
45.94
208
Heiko Hirschmueller: Stereo processing by semiglobal matching and mutual information. TPAMI 2008, Volume 30(2), pp. 328-341
FAT-Stereotwo views22.66
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14.10
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18.12
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36.51
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36.45
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28.44
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18.28
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23.24
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29.53
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34.98
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34.03
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18.18
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19.93
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34.98
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17.89
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12.07
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13.56
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16.39
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18.75
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22.16
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29.92
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42.72
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FBW_ROBtwo views22.68
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25.59
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17.06
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42.36
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25.78
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32.64
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18.79
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14.74
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11.55
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14.37
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14.63
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43.96
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27.95
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19.91
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12.86
182
7.21
135
19.18
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10.97
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50.42
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7.16
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14.33
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8.94
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19.37
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27.40
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19.63
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19.58
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32.74
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53.34
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UDGtwo views23.27
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29.32
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11.18
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43.83
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40.37
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44.05
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50.45
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13.10
149
13.02
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14.19
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22.69
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21.71
166
5.53
146
87.32
231
14.53
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9.94
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21.35
203
14.28
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31.51
185
11.75
182
18.79
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19.17
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14.52
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7.66
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16.22
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18.20
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17.11
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16.42
138
XQCtwo views23.79
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15.10
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32.24
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23.60
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33.61
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31.06
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36.95
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28.94
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28.36
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13.76
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41.71
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22.97
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18.81
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15.02
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11.76
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14.98
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11.67
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32.12
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15.72
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17.84
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17.68
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11.06
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14.53
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30.59
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25.39
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42.82
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27.90
177
SANettwo views26.20
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17.46
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19.39
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23.31
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19.54
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30.21
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17.62
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34.21
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29.84
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16.57
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29.14
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78.44
241
41.28
216
17.70
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14.47
191
9.87
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21.24
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16.39
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30.80
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14.78
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18.51
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16.48
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28.56
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32.02
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36.14
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G-Nettwo views26.39
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18.69
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18.14
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16.15
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35.72
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28.39
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32.97
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33.44
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63.95
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25.70
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6.89
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17.98
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16.18
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17.60
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44.66
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34.02
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25.13
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11.41
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29.30
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42.48
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42.59
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ADCStwo views26.80
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15.99
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21.47
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20.26
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22.98
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18.29
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35.82
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32.21
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16.06
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26.49
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45.49
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36.28
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13.17
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20.46
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19.03
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30.07
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22.20
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48.35
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27.42
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35.57
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28.75
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13.83
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20.87
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29.72
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30.23
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30.90
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42.38
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S-Stereotwo views27.72
203
17.16
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13.86
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39.92
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37.96
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40.17
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37.41
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22.71
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22.92
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17.38
185
45.47
227
52.74
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36.13
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14.44
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15.19
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13.69
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25.76
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37.88
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24.35
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16.58
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17.35
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54.72
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21.07
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19.57
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19.47
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23.45
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41.49
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DLNR_Zeroshot_testpermissivetwo views27.74
204
81.73
249
12.63
185
100.00
259
0.86
38
2.07
80
98.97
259
12.75
145
1.01
59
13.19
146
6.22
103
12.59
120
2.29
105
24.24
213
96.65
259
100.00
263
32.51
217
28.96
224
28.74
177
5.03
116
12.27
161
9.76
155
1.02
72
3.30
135
13.96
152
10.23
120
18.30
161
19.61
153
MeshStereopermissivetwo views28.39
205
28.64
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17.49
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49.25
214
36.94
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38.63
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25.84
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34.17
207
25.10
202
21.94
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21.87
201
55.23
205
48.16
222
4.50
164
13.52
186
12.28
196
18.04
186
11.23
183
30.39
180
14.62
191
25.20
215
20.27
215
21.38
214
18.82
205
39.99
217
31.23
216
52.09
221
49.59
213
C. Zhang, Z. Li, Y. Cheng, R. Cai, H. Chao, Y. Rui: MeshStereo: A Global Stereo Model with Mesh Alignment Regularization for View Interpolation. ICCV 2015
MFN_U_SF_RVCtwo views28.82
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28.11
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16.40
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33.64
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25.89
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32.81
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27.70
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37.42
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22.10
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45.99
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28.32
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49.91
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32.35
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21.67
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23.87
218
16.93
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13.84
168
15.41
198
53.47
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24.58
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22.24
210
24.24
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11.62
196
24.71
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33.63
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24.09
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37.01
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50.20
214
DPSNettwo views28.84
207
15.01
186
14.59
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24.53
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22.59
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32.15
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14.89
180
20.11
181
22.50
196
8.42
99
9.93
141
89.34
257
44.91
219
5.30
169
16.79
204
17.05
214
33.42
218
28.86
223
68.85
229
19.87
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21.86
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20.14
213
40.60
224
25.82
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42.58
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28.31
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39.91
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50.48
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edge stereotwo views29.25
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20.44
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19.28
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41.04
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37.14
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43.08
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39.81
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38.54
218
21.86
194
16.30
181
39.05
226
60.91
213
36.52
207
25.09
214
13.84
189
13.95
204
26.34
213
15.54
199
44.48
208
19.15
203
18.84
202
16.15
202
21.96
216
17.87
200
27.90
200
22.43
196
39.03
206
53.23
219
AnyNet_C01two views29.84
209
19.89
195
14.82
198
20.44
184
24.83
200
21.98
188
21.35
197
35.82
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38.87
228
21.30
199
27.69
215
49.03
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34.01
202
14.21
199
25.95
220
21.84
221
38.69
225
34.70
228
58.02
220
30.27
219
38.97
230
31.02
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21.95
215
20.80
209
34.15
209
28.69
211
32.34
194
44.08
206
LE_ROBtwo views30.18
210
25.29
201
22.53
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44.68
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47.30
222
42.05
211
47.63
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37.72
216
26.38
204
14.44
163
27.01
211
63.45
219
53.67
228
2.76
139
9.16
139
5.54
108
11.17
151
7.21
150
33.90
193
14.21
189
15.25
179
10.29
166
10.82
192
29.62
223
43.65
223
41.44
228
61.77
231
65.95
240
DGSMNettwo views31.95
211
26.17
205
20.72
214
37.26
201
28.74
206
34.52
203
34.10
208
24.17
192
19.22
190
24.54
205
49.93
232
45.93
194
27.51
192
21.47
211
22.14
214
20.16
218
51.49
234
29.68
226
61.18
223
33.45
224
39.09
231
39.36
239
24.02
218
29.07
222
25.54
194
24.21
199
30.84
191
38.20
191
SQANettwo views32.80
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51.98
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17.38
204
71.36
229
50.98
224
73.19
230
74.73
229
25.86
196
12.19
172
32.41
218
14.38
175
59.07
209
14.65
178
90.80
232
9.98
153
6.17
120
17.16
183
15.73
200
43.94
206
12.07
185
9.77
133
8.88
140
57.35
229
7.60
169
21.20
184
20.05
183
25.86
183
40.75
197
MSC_U_SF_DS_RVCtwo views33.27
213
37.24
217
37.63
225
47.28
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27.52
205
29.08
197
26.75
204
50.43
229
47.48
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40.30
226
26.00
208
38.55
187
32.85
201
28.45
216
32.67
225
26.35
223
15.78
179
21.22
213
61.04
222
33.35
223
22.55
211
27.54
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26.33
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35.86
227
34.90
210
22.12
191
28.39
186
40.68
196
STStereotwo views33.82
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46.03
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33.92
222
62.03
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49.51
223
54.29
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44.39
215
36.14
211
32.39
218
25.36
207
27.16
212
63.64
220
51.30
226
11.18
193
12.51
175
7.64
142
16.36
181
8.19
158
46.40
210
15.25
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17.50
191
15.24
197
9.85
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23.07
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49.16
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40.60
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62.23
232
51.79
218
MANEtwo views35.56
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36.32
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30.27
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57.13
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45.60
218
45.77
217
44.19
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42.38
225
28.54
209
22.99
202
27.28
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55.78
206
38.47
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17.15
203
19.38
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22.05
222
28.66
214
42.73
234
37.10
198
15.31
196
28.48
219
16.47
203
9.03
188
25.43
216
52.81
231
42.23
230
66.17
237
62.49
232
PVDtwo views36.94
216
35.53
213
20.19
213
46.53
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34.00
208
49.81
218
37.38
210
39.85
222
38.08
227
15.29
176
27.60
214
51.81
203
50.55
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49.21
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16.55
203
15.85
210
37.91
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22.29
215
49.12
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26.18
213
37.77
225
38.78
238
19.75
211
24.11
213
43.49
222
58.18
244
46.46
217
65.23
237
BEATNet-Init1two views37.96
217
44.56
219
27.41
219
61.43
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43.01
216
54.12
219
44.65
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41.12
224
30.83
215
31.66
216
22.08
203
61.84
217
55.93
232
12.97
195
24.90
219
21.55
220
21.99
205
16.73
205
57.95
219
30.86
221
27.04
218
21.23
217
18.58
207
28.82
221
49.15
225
37.94
224
73.47
248
62.96
233
SAMSARAtwo views38.30
218
15.47
187
38.14
226
18.86
181
17.33
190
18.42
184
17.45
188
44.16
226
36.06
225
28.66
214
18.06
190
28.26
174
47.25
221
13.90
198
27.47
222
29.04
225
22.15
207
25.56
219
46.84
211
26.27
214
47.87
243
51.36
248
6.64
183
28.47
220
96.29
261
97.75
261
95.23
260
91.23
259
ELAScopylefttwo views38.52
219
44.92
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35.73
223
58.67
222
45.67
219
54.34
221
49.79
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39.79
221
30.51
214
25.44
208
30.07
221
65.85
228
41.53
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20.67
209
22.24
215
19.55
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34.81
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22.44
216
44.42
207
23.13
209
34.09
222
25.77
221
19.79
212
30.94
224
52.44
230
42.30
231
63.40
234
61.61
229
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
ELAS_RVCcopylefttwo views38.71
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44.08
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36.14
224
58.34
221
44.80
217
56.14
223
49.04
219
39.16
219
28.27
208
25.76
209
32.54
223
72.51
236
41.64
218
21.11
210
22.30
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19.61
217
35.30
222
23.00
217
43.53
205
23.57
210
35.09
223
26.25
222
19.66
210
32.53
225
49.82
227
40.38
226
64.26
235
60.37
226
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
DispFullNettwo views39.75
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49.92
223
23.96
217
64.91
227
46.52
220
59.62
225
70.39
228
31.47
204
26.91
206
20.82
196
19.96
199
67.89
230
48.82
223
93.71
235
18.90
210
20.26
219
49.49
233
34.84
229
69.36
231
28.05
217
25.61
216
21.10
216
20.01
213
20.31
207
28.35
201
19.38
178
35.57
203
56.98
224
LSM0two views41.44
222
24.61
200
12.72
186
39.36
203
29.64
207
40.63
210
36.02
209
50.44
230
34.27
223
45.33
232
46.68
228
62.96
218
54.33
230
10.70
191
82.82
254
89.58
256
35.18
221
23.00
217
69.90
232
35.16
226
44.19
237
35.05
233
17.16
206
25.30
215
38.79
215
32.56
218
51.88
220
50.73
216
otakutwo views41.47
223
59.93
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23.77
216
85.43
244
70.24
233
84.12
246
93.39
248
37.75
217
32.63
219
39.34
225
19.49
197
59.42
210
25.11
187
95.21
236
19.99
212
11.68
186
18.98
188
16.34
201
64.80
225
27.36
215
13.65
169
10.63
169
58.26
230
19.35
206
33.80
208
22.23
194
34.11
198
42.76
202
Ntrotwo views43.91
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60.52
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25.10
218
85.23
243
71.11
234
83.99
244
93.99
249
47.62
227
36.91
226
40.53
227
31.94
222
64.60
223
21.97
183
95.55
238
22.72
217
12.49
197
21.79
204
16.54
203
65.59
226
31.28
222
15.15
177
11.03
172
59.53
231
20.73
208
36.26
212
30.56
215
39.66
208
43.06
203
ACVNet-4btwo views45.05
225
60.08
229
30.77
221
90.02
250
75.84
243
84.32
247
96.58
255
33.86
206
33.30
221
41.42
230
17.10
185
79.70
243
30.67
195
96.27
243
28.98
223
27.35
224
31.43
216
19.93
211
54.55
217
37.33
227
11.23
147
9.86
157
62.73
240
18.46
203
35.28
211
28.09
209
40.93
210
40.39
194
AMNettwo views47.82
226
49.81
222
47.75
229
49.90
215
46.59
221
58.94
224
54.48
222
20.74
183
35.99
224
31.17
215
68.62
241
69.95
232
11.91
171
54.47
223
44.89
229
55.58
240
56.46
239
57.26
249
48.53
213
48.42
229
57.22
248
47.88
245
10.80
191
47.38
230
44.55
224
51.78
239
57.59
227
62.43
231
ACVNet_1two views48.34
227
63.93
231
38.22
227
86.47
246
72.30
236
85.13
249
94.95
251
58.28
234
29.71
212
43.49
231
48.57
230
65.41
226
56.74
233
95.77
239
26.81
221
14.51
208
35.45
223
27.56
221
56.62
218
30.44
220
25.82
217
18.59
209
63.35
241
28.26
219
42.57
220
25.15
202
35.26
202
35.90
189
RainbowNettwo views53.63
228
66.91
232
44.07
228
91.23
251
74.92
241
90.37
256
95.07
252
39.32
220
33.34
222
45.45
233
29.92
219
71.99
235
56.83
234
96.98
251
68.70
241
46.94
234
34.42
219
29.67
225
77.69
244
55.56
235
21.47
208
14.04
190
64.62
242
33.19
226
39.92
216
32.77
219
44.50
215
48.08
211
MADNet+two views53.95
229
35.82
214
65.49
248
55.03
218
52.23
225
44.42
215
40.28
213
60.67
236
51.63
233
54.06
237
38.36
225
76.38
239
64.35
236
32.92
217
60.20
238
48.58
236
53.78
237
50.30
239
69.19
230
51.45
231
47.07
241
40.09
240
52.15
227
46.49
229
75.06
252
69.31
251
57.65
228
63.58
235
JetBluetwo views56.35
230
54.44
225
61.38
242
61.95
225
57.67
228
61.95
226
60.94
224
51.18
231
73.59
244
45.81
234
26.60
210
88.52
254
40.01
214
51.49
221
43.77
228
43.40
232
60.04
244
52.20
243
59.95
221
50.68
230
52.42
245
57.10
249
68.83
244
54.93
238
53.92
232
44.48
233
72.22
244
72.13
246
SPS-STEREOcopylefttwo views56.37
231
55.26
226
52.00
233
54.83
217
53.74
226
62.64
227
54.55
223
36.65
212
52.61
234
41.02
228
72.82
246
68.83
231
51.37
227
54.23
222
54.01
233
56.16
242
65.48
249
61.21
252
67.80
228
65.19
244
71.89
256
61.36
253
22.00
217
53.23
236
52.28
229
54.66
242
64.70
236
61.46
228
K. Yamaguchi, D. McAllester, R. Urtasun: Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. ECCV 2014
SGM+DAISYtwo views56.40
232
55.60
227
53.01
236
57.87
220
54.17
227
66.57
229
61.59
225
40.71
223
45.76
230
41.21
229
73.61
247
65.02
224
54.97
231
55.73
225
54.11
236
55.49
239
65.18
248
59.21
251
64.31
224
60.11
240
65.62
251
58.39
250
28.82
221
49.97
232
51.62
228
52.77
240
67.11
238
64.35
236
ACVNet_2two views58.27
233
74.04
235
56.98
239
88.59
247
81.05
246
87.05
253
96.06
253
66.05
238
43.49
229
52.82
236
46.78
229
78.54
242
69.96
239
96.60
244
50.76
232
40.75
229
40.15
226
28.24
222
76.92
240
42.75
228
31.31
220
21.70
218
61.62
233
53.19
235
55.03
233
28.06
208
51.48
219
53.37
221
IMH-64-1two views60.28
234
74.69
236
50.42
230
80.31
232
73.97
238
79.70
236
84.33
234
77.04
242
64.71
237
37.08
221
59.46
234
61.44
214
80.06
250
96.76
248
49.65
230
41.24
230
48.02
230
35.18
230
71.95
233
54.63
233
37.85
226
30.42
227
61.88
234
50.63
233
66.91
241
36.03
222
57.39
225
65.70
238
IMH-64two views60.28
234
74.69
236
50.42
230
80.31
232
73.97
238
79.70
236
84.33
234
77.04
242
64.71
237
37.08
221
59.46
234
61.44
214
80.06
250
96.76
248
49.65
230
41.24
230
48.02
230
35.18
230
71.95
233
54.63
233
37.85
226
30.42
227
61.88
234
50.63
233
66.91
241
36.03
222
57.39
225
65.70
238
WAO-7two views61.44
236
71.70
234
62.21
244
65.81
228
69.25
231
55.85
222
62.17
226
81.48
249
77.86
249
59.25
241
69.56
242
65.46
227
70.40
240
54.87
224
84.64
256
76.82
252
43.20
227
34.36
227
80.12
249
68.99
250
41.89
233
31.49
230
14.04
201
80.25
257
55.37
234
63.81
247
56.11
224
61.87
230
IMHtwo views62.37
237
75.88
239
52.64
234
80.91
234
73.71
237
82.21
240
84.46
236
77.43
244
66.45
240
38.17
224
59.49
236
65.18
225
82.27
254
96.74
247
54.05
235
45.28
233
49.25
232
36.35
232
75.11
238
59.08
239
37.91
228
30.39
226
61.98
236
54.51
237
70.73
245
45.19
234
61.21
230
67.54
241
PSMNet_ROBtwo views62.69
238
80.61
247
59.91
241
81.85
237
75.39
242
85.28
250
87.50
241
55.22
233
75.12
245
70.87
248
63.54
239
73.03
237
71.52
243
95.40
237
54.18
237
37.32
227
51.73
235
39.45
233
72.02
235
65.27
245
40.03
232
26.72
223
62.70
239
47.90
231
62.18
239
38.75
225
73.13
246
46.14
210
TorneroNet-64two views63.19
239
75.15
238
55.88
238
82.69
239
63.23
229
74.55
231
83.40
233
60.19
235
69.74
242
56.51
239
48.87
231
86.61
250
70.59
242
96.70
245
63.73
239
51.45
237
46.73
228
46.07
235
76.66
239
58.77
238
33.57
221
34.51
232
74.14
246
55.02
239
59.06
236
48.57
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61.16
229
72.46
247
TorneroNettwo views66.23
240
77.53
240
63.32
246
85.97
245
69.14
230
77.06
232
86.80
240
62.89
237
70.48
243
65.63
244
55.43
233
86.42
249
67.47
237
96.85
250
67.92
240
52.32
238
47.97
229
50.55
240
78.21
245
62.59
242
38.95
229
41.32
241
76.55
248
56.42
240
60.86
237
48.15
236
69.78
242
71.65
245
PWCKtwo views67.12
241
90.16
258
61.80
243
92.78
254
74.34
240
85.07
248
75.96
230
74.55
241
64.36
236
71.63
249
71.49
244
81.09
244
70.46
241
70.64
228
37.90
226
37.63
228
67.71
251
46.24
236
93.61
257
64.94
243
56.13
247
41.76
242
79.34
249
69.81
248
64.94
240
41.69
229
63.04
233
63.13
234
WAO-6two views67.55
242
78.30
242
59.14
240
81.25
235
79.91
245
77.57
233
86.13
239
81.41
248
68.11
241
68.43
246
70.17
243
60.57
212
84.88
255
96.09
240
78.63
251
61.94
243
52.44
236
47.97
237
67.63
227
57.85
237
55.31
246
51.06
247
49.29
226
58.07
241
71.80
246
43.75
232
67.99
239
68.15
243
LRCNet_RVCtwo views69.01
243
78.86
244
51.62
232
95.98
257
97.20
259
94.61
258
90.00
242
72.51
240
49.01
232
99.86
261
79.80
251
96.18
261
77.08
247
97.92
257
43.52
227
32.40
226
79.98
257
65.71
254
96.30
258
73.11
251
47.12
242
37.90
236
95.96
258
64.87
244
37.53
214
21.86
190
46.23
216
40.21
193
LVEtwo views69.55
244
79.12
245
67.17
249
92.96
255
87.79
251
82.46
241
96.73
257
83.91
252
66.42
239
72.92
250
76.51
248
61.80
216
87.71
258
97.59
256
54.04
234
47.00
235
55.01
238
53.49
244
80.57
250
61.93
241
44.39
238
38.35
237
79.72
250
70.54
250
68.62
244
46.65
235
72.75
245
51.61
217
MFMNet_retwo views70.53
245
82.36
250
77.16
255
78.14
230
69.48
232
83.12
243
76.90
231
52.18
232
55.55
235
54.56
238
72.65
245
73.90
238
50.72
225
65.86
226
81.62
252
83.89
254
81.27
258
78.63
257
72.62
236
68.87
249
75.27
257
74.56
256
46.78
225
60.04
242
61.18
238
66.38
248
73.44
247
87.29
258
notakertwo views71.38
246
78.65
243
54.69
237
84.72
242
82.95
247
82.06
239
91.48
245
87.48
256
82.07
254
60.48
242
85.97
254
70.68
233
79.79
249
96.70
245
77.03
247
61.97
244
61.31
246
49.23
238
81.82
251
67.63
248
52.22
244
46.81
243
73.73
245
68.68
247
58.07
235
51.33
238
68.53
241
71.08
244
SPstereotwo views71.78
247
69.50
233
63.21
245
60.32
223
72.07
235
63.64
228
64.54
227
86.42
255
79.66
251
70.67
247
81.58
252
71.85
234
80.92
253
78.94
230
82.15
253
87.70
255
73.34
252
56.84
248
76.92
240
66.43
247
69.70
253
65.05
254
61.58
232
72.96
251
72.43
247
61.70
246
79.96
255
67.88
242
ktntwo views73.77
248
79.75
246
53.00
235
81.45
236
88.63
252
78.92
234
90.62
244
90.90
258
91.37
256
57.04
240
91.77
258
64.56
222
68.03
238
97.29
253
75.00
245
65.54
246
66.33
250
56.23
247
78.86
247
65.83
246
61.55
250
59.89
252
67.39
243
66.10
245
75.18
253
60.13
245
78.23
253
82.16
255
WAO-8two views73.90
249
83.69
252
72.64
252
89.62
248
89.28
254
88.99
254
92.48
246
80.57
246
77.83
247
76.08
251
62.52
237
82.88
245
72.27
244
96.23
241
77.30
248
69.40
249
59.94
242
52.15
241
77.08
242
76.97
254
46.88
239
35.80
234
62.13
237
73.39
253
75.03
250
68.35
249
77.93
251
77.76
248
Venustwo views73.90
249
83.69
252
72.64
252
89.67
249
89.28
254
88.99
254
92.48
246
80.57
246
77.83
247
76.08
251
62.52
237
82.88
245
72.27
244
96.23
241
77.30
248
69.40
249
59.94
242
52.15
241
77.08
242
76.97
254
46.88
239
35.80
234
62.13
237
73.39
253
75.03
250
68.35
249
77.93
251
77.76
248
UNDER WATER-64two views75.67
251
81.70
248
71.33
250
91.75
252
87.21
249
85.53
251
96.64
256
83.38
250
76.42
246
79.20
254
85.55
253
86.85
251
76.63
246
97.41
254
72.40
242
55.82
241
61.54
247
55.65
246
74.02
237
53.26
232
44.03
235
50.98
246
90.58
255
73.26
252
78.01
256
80.76
256
68.27
240
84.86
256
UNDER WATERtwo views75.88
252
84.51
255
71.98
251
92.01
253
84.19
248
85.60
252
94.87
250
80.27
245
77.93
250
76.18
253
76.67
249
88.04
252
77.89
248
97.19
252
78.13
250
63.60
245
61.10
245
55.58
245
78.49
246
56.97
236
43.63
234
47.72
244
87.87
254
76.39
256
77.17
254
78.76
254
70.88
243
85.11
257
Deantwo views77.48
253
83.82
254
77.11
254
97.28
258
96.37
258
97.16
259
97.23
258
85.86
254
81.96
253
88.94
256
77.88
250
89.24
256
86.33
256
98.31
259
75.93
246
66.54
248
57.80
241
57.32
250
91.12
255
80.41
257
44.18
236
32.55
231
80.01
251
75.39
255
73.99
248
53.83
241
85.46
257
59.93
225
DPSimNet_ROBtwo views78.97
254
77.62
241
80.17
256
79.15
231
89.15
253
80.21
238
80.58
232
70.37
239
95.41
259
96.15
257
87.26
255
88.83
255
59.22
235
93.19
234
74.77
244
69.80
251
75.14
255
65.07
253
82.98
252
77.91
256
71.40
255
78.66
257
91.28
257
61.75
243
68.55
243
82.24
257
77.44
250
77.82
250
HanzoNettwo views79.15
255
82.61
251
63.39
247
84.63
241
87.76
250
82.84
242
90.52
243
93.48
259
91.71
257
61.49
243
89.74
256
83.24
247
86.75
257
97.92
257
73.08
243
66.32
247
74.85
253
72.80
255
87.43
253
75.21
252
70.67
254
70.02
255
75.14
247
68.22
246
77.26
255
70.29
252
79.78
254
79.93
254
JetRedtwo views79.56
256
85.37
256
84.59
257
83.21
240
79.47
244
84.04
245
85.88
238
83.64
251
82.41
255
68.18
245
64.26
240
91.36
258
39.61
213
78.40
229
83.29
255
82.43
253
79.11
256
86.69
260
79.88
248
75.28
253
89.69
258
86.94
258
87.50
253
70.30
249
74.65
249
79.37
255
82.70
256
79.91
253
KSHMRtwo views85.05
257
95.39
259
87.70
258
95.47
256
93.32
256
92.81
257
96.30
254
88.71
257
80.58
252
87.28
255
90.38
257
84.49
248
80.26
252
97.55
255
94.11
257
90.49
257
74.98
254
77.89
256
88.64
254
85.83
258
67.64
252
58.51
251
91.11
256
86.08
258
81.21
258
75.30
253
75.75
249
78.54
251
MADNet++two views89.66
258
89.04
257
93.96
260
82.44
238
93.36
257
79.42
235
85.59
237
83.91
252
91.80
258
96.72
258
97.56
259
88.26
253
93.28
259
68.16
227
96.48
258
98.97
259
95.25
260
85.92
259
92.58
256
98.11
259
96.75
261
98.43
261
84.35
252
96.89
260
80.50
257
86.67
258
86.59
258
79.77
252
PMLtwo views98.00
259
100.00
263
89.41
259
100.00
259
100.00
260
100.00
260
99.52
260
100.00
263
99.67
261
100.00
262
98.18
260
99.94
263
100.00
264
99.58
260
97.81
260
96.93
258
93.39
259
85.77
258
100.00
262
99.15
261
96.63
260
92.95
259
99.24
259
99.73
262
98.06
263
99.99
263
100.00
263
99.98
263
MEDIAN_ROBtwo views98.39
260
99.52
260
99.12
261
100.00
259
100.00
260
100.00
260
100.00
261
99.70
262
99.00
260
100.00
262
99.99
263
98.80
262
97.65
260
99.97
261
99.66
261
99.00
260
99.10
261
99.18
261
99.95
261
98.83
260
95.51
259
97.85
260
100.00
260
98.41
261
90.71
259
94.33
259
93.03
259
97.15
261
AVERAGE_ROBtwo views99.48
261
100.00
263
99.90
263
100.00
259
100.00
260
100.00
260
100.00
261
100.00
263
100.00
263
100.00
262
100.00
264
100.00
264
100.00
264
100.00
262
99.89
263
99.92
262
100.00
265
100.00
265
100.00
262
100.00
262
99.09
263
99.77
263
100.00
260
100.00
264
96.69
262
96.89
260
97.18
262
96.57
260
HaxPigtwo views99.50
262
100.00
263
99.58
262
100.00
259
100.00
260
100.00
260
100.00
261
100.00
263
99.99
262
100.00
262
100.00
264
100.00
264
99.98
263
100.00
262
99.75
262
99.76
261
99.99
264
99.80
262
100.00
262
100.00
262
98.86
262
98.48
262
100.00
260
99.99
263
94.78
260
99.70
262
96.75
261
99.23
262
DGTPSM_ROBtwo views99.76
263
99.92
261
100.00
264
100.00
259
100.00
260
100.00
260
100.00
261
99.67
260
100.00
263
99.54
259
99.82
261
95.69
259
99.56
261
100.00
262
99.97
264
100.00
263
99.97
262
99.99
263
99.84
259
100.00
262
99.88
264
99.80
264
100.00
260
100.00
264
100.00
264
100.00
264
100.00
263
100.00
264
DPSMNet_ROBtwo views99.77
264
99.92
261
100.00
264
100.00
259
100.00
260
100.00
260
100.00
261
99.67
260
100.00
263
99.54
259
99.82
261
95.70
260
99.57
262
100.00
262
99.97
264
100.00
263
99.97
262
99.99
263
99.88
260
100.00
262
99.88
264
99.80
264
100.00
260
100.00
264
100.00
264
100.00
264
100.00
263
100.00
264
CasAABBNettwo views100.00
265
100.00
263
100.00
264
100.00
259
100.00
260
100.00
260
100.00
261
100.00
263
100.00
263
100.00
262
100.00
264
100.00
264
100.00
264
100.00
262
100.00
266
100.00
263
100.00
265
100.00
265
100.00
262
100.00
262
100.00
266
100.00
266
100.00
260
100.00
264
100.00
264
100.00
264
100.00
263
100.00
264
DPSM_ROBtwo views100.00
265
100.00
263
100.00
264
100.00
259
100.00
260
100.00
260
100.00
261
100.00
263
100.00
263
100.00
262
100.00
264
100.00
264
100.00
264
100.00
262
100.00
266
100.00
263
100.00
265
100.00
265
100.00
262
100.00
262
100.00
266
100.00
266
100.00
260
100.00
264
100.00
264
100.00
264
100.00
263
100.00
264
DPSMtwo views100.00
265
100.00
263
100.00
264
100.00
259
100.00
260
100.00
260
100.00
261
100.00
263
100.00
263
100.00
262
100.00
264
100.00
264
100.00
264
100.00
262
100.00
266
100.00
263
100.00
265
100.00
265
100.00
262
100.00
262
100.00
266
100.00
266
100.00
260
100.00
264
100.00
264
100.00
264
100.00
263
100.00
264
ASD4two views93.56
259
STTRV1_RVCtwo views19.69
194
10.23
171
32.93
198
18.42
192
28.73
196
21.65
198
30.21
202
29.18
211
24.35
203
21.99
202
42.54
189
40.31
215
46.58
219
29.61
224
10.10
179
57.30
240
13.57
194
28.69
218
58.70
249
19.89
211
41.61
228
24.70
192
55.51
243
34.55
200
61.08
227