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 Infoalllakes. 1llakes. 1ssand box 1lsand box 1sstora. room 1lstora. room 1sstora. room 2lstora. room 2sstora. room 2 1lstora. room 2 1sstora. room 2 2lstora. room 2 2sstora. room 3lstora. room 3stunnel 1ltunnel 1stunnel 2ltunnel 2stunnel 3ltunnel 3s
sort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
sCroCo_RVCtwo views1.21
3
0.65
47
5.16
78
1.09
32
1.29
74
0.92
1
0.19
22
3.92
6
2.68
2
0.30
1
3.04
9
0.52
11
1.56
26
1.58
8
0.78
12
0.09
106
0.25
146
0.00
1
0.00
1
0.07
45
0.11
67
sAnonymous2two views1.35
4
1.66
125
8.14
124
0.55
17
0.46
37
1.23
2
0.24
26
4.00
7
3.47
7
0.40
2
1.11
1
0.23
2
1.42
23
0.96
4
0.57
6
0.01
48
0.00
1
0.00
1
0.20
131
2.07
163
0.22
95
CroCo_RVCtwo views1.35
4
1.66
125
8.14
124
0.55
17
0.46
37
1.23
2
0.24
26
4.00
7
3.47
7
0.40
2
1.11
1
0.23
2
1.42
23
0.96
4
0.57
6
0.01
48
0.00
1
0.00
1
0.20
131
2.07
163
0.22
95
Anonymoustwo views1.37
6
0.52
25
4.23
57
1.38
41
2.70
121
1.85
17
0.42
36
4.77
12
3.54
9
0.53
4
1.56
5
0.19
1
1.32
20
3.11
23
0.92
19
0.05
96
0.08
110
0.00
1
0.00
1
0.17
83
0.15
79
CREStereotwo views0.98
1
0.42
17
1.86
1
0.07
1
0.22
23
1.65
8
0.02
7
4.07
9
6.33
43
0.72
5
1.54
4
0.43
7
0.64
7
1.22
7
0.44
3
0.00
1
0.00
1
0.00
1
0.00
1
0.01
7
0.00
1
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
PMTNettwo views1.41
7
0.37
11
2.06
8
0.26
8
0.15
16
2.94
36
0.34
31
3.39
3
5.33
26
1.00
6
1.27
3
0.28
5
0.93
15
4.04
30
0.74
10
5.00
173
0.00
1
0.00
1
0.00
1
0.03
26
0.01
8
EAI-Stereotwo views2.31
29
0.44
18
2.72
22
0.68
22
0.56
41
3.51
44
2.62
90
11.42
89
4.14
17
2.09
7
7.23
43
1.21
14
0.91
14
5.67
42
1.51
29
0.01
48
0.25
146
0.00
1
0.88
163
0.04
31
0.26
108
Anonymous3two views1.76
14
0.44
18
6.37
101
0.33
12
0.50
40
4.33
59
0.54
42
4.43
10
2.48
1
2.21
8
3.24
10
1.53
19
1.14
17
5.64
41
1.29
26
0.17
119
0.23
142
0.00
1
0.00
1
0.12
64
0.15
79
RALCasStereoNettwo views1.93
18
1.01
82
2.75
23
1.88
67
1.75
91
2.88
34
0.18
21
4.64
11
4.36
19
2.27
9
5.14
22
2.22
26
0.79
13
7.10
57
1.00
22
0.00
1
0.34
152
0.00
1
0.00
1
0.10
53
0.16
83
XX-Stereotwo views2.71
38
0.38
13
5.96
94
2.25
97
2.20
106
1.54
6
0.21
23
5.44
22
3.05
3
2.28
10
16.16
120
7.03
60
0.24
1
6.19
45
0.79
13
0.00
1
0.15
129
0.00
1
0.23
135
0.13
72
0.04
38
raft+_RVCtwo views1.79
15
0.84
64
2.32
12
2.40
107
0.85
56
1.38
5
0.09
11
6.36
30
4.75
21
2.85
11
5.46
30
1.17
13
1.36
22
4.54
33
0.91
16
0.00
1
0.10
116
0.00
1
0.00
1
0.11
59
0.22
95
XX-TBDtwo views1.44
8
0.85
66
2.04
6
2.45
111
0.05
3
2.34
21
0.01
1
3.46
5
7.51
62
2.88
12
4.98
20
0.26
4
0.25
2
1.15
6
0.46
4
0.00
1
0.00
1
0.00
1
0.00
1
0.00
1
0.00
1
TestStereotwo views1.74
13
1.02
84
3.64
44
0.20
3
0.28
26
1.33
4
0.01
1
5.24
17
4.01
13
3.18
13
4.97
19
2.07
25
0.70
8
7.32
59
0.75
11
0.02
65
0.00
1
0.00
1
0.00
1
0.01
7
0.00
1
111two views2.78
39
0.92
74
3.81
49
0.22
4
0.07
7
2.83
32
0.70
57
6.03
27
14.00
120
3.22
14
8.93
61
5.48
46
3.30
49
3.66
27
2.03
39
0.00
1
0.00
1
0.00
1
0.00
1
0.10
53
0.29
114
rafts_anoytwo views1.72
12
0.79
59
2.58
15
2.03
80
1.75
91
2.47
23
0.16
20
5.48
23
6.01
38
3.24
15
2.11
7
1.92
24
1.33
21
3.08
22
1.13
25
0.01
48
0.18
136
0.00
1
0.01
82
0.03
26
0.07
47
FADNet_RVCtwo views3.91
71
1.67
127
12.95
147
0.96
28
0.75
49
5.71
81
0.54
42
10.83
82
6.60
46
3.46
16
8.09
53
4.10
36
3.40
52
9.43
104
6.33
95
0.36
140
0.44
158
0.17
145
0.46
156
0.91
146
0.95
150
GMStereotwo views1.83
16
0.99
81
4.55
65
0.57
19
0.05
3
2.53
24
0.01
1
4.95
14
11.14
100
3.52
17
2.24
8
0.53
12
0.49
5
3.76
29
0.80
14
0.20
124
0.00
1
0.00
1
0.12
124
0.12
64
0.00
1
FADNet-RVCtwo views3.98
73
1.84
134
12.48
144
1.69
62
0.44
35
4.33
59
1.31
76
11.84
96
7.15
56
3.53
18
3.50
11
10.63
98
4.43
73
9.12
95
6.25
94
0.03
79
0.10
116
0.00
1
0.03
99
0.60
135
0.25
105
s12784htwo views1.59
9
0.39
15
2.26
9
0.36
14
0.01
1
1.67
9
0.01
1
2.95
1
8.12
73
3.69
19
7.44
46
0.47
9
0.32
3
0.74
1
0.39
1
0.00
1
0.00
1
0.00
1
3.03
175
0.00
1
0.00
1
CREStereo++_RVCtwo views1.59
9
0.39
15
2.26
9
0.36
14
0.01
1
1.67
9
0.01
1
2.95
1
8.12
73
3.69
19
7.44
46
0.47
9
0.32
3
0.74
1
0.39
1
0.00
1
0.00
1
0.00
1
3.03
175
0.00
1
0.00
1
iRaftStereo_RVCtwo views1.62
11
0.68
49
1.98
5
0.67
21
0.05
3
2.99
37
0.04
8
5.36
18
3.74
11
3.82
21
4.96
18
2.54
28
0.62
6
3.35
25
0.97
20
0.00
1
0.07
107
0.00
1
0.00
1
0.30
108
0.27
111
FADNettwo views4.23
81
1.65
124
11.75
140
1.64
59
0.80
54
4.80
70
0.77
63
13.76
120
11.65
107
3.97
22
5.24
28
9.62
88
5.14
87
8.40
80
3.78
69
0.21
125
0.04
88
0.07
131
0.05
110
1.14
151
0.10
64
TANstereotwo views1.20
2
0.49
23
2.04
6
0.34
13
0.10
10
1.80
16
0.01
1
3.40
4
4.10
16
4.37
23
4.82
16
0.41
6
0.70
8
0.94
3
0.46
4
0.00
1
0.00
1
0.00
1
0.00
1
0.00
1
0.00
1
CFNet-ftpermissivetwo views3.31
51
0.94
78
2.69
18
1.50
48
2.38
111
2.81
29
0.68
55
8.35
42
7.43
60
4.45
24
9.94
67
10.20
92
4.60
74
6.50
52
3.41
64
0.00
1
0.00
1
0.03
115
0.00
1
0.22
98
0.03
27
CFNet_RVCtwo views3.31
51
0.94
78
2.69
18
1.50
48
2.38
111
2.81
29
0.68
55
8.35
42
7.43
60
4.45
24
9.94
67
10.20
92
4.60
74
6.49
51
3.41
64
0.00
1
0.00
1
0.03
115
0.00
1
0.22
98
0.03
27
ACVNettwo views2.58
35
0.53
29
2.69
18
0.84
23
0.59
42
2.61
25
0.55
44
8.35
42
5.70
31
4.45
24
9.26
64
5.77
49
3.50
53
2.24
19
4.41
76
0.00
1
0.00
1
0.00
1
0.00
1
0.17
83
0.01
8
UCFNet_RVCtwo views3.09
43
0.77
55
2.27
11
2.35
104
1.79
95
3.50
43
1.06
68
12.12
101
6.91
50
4.71
27
7.67
50
7.58
70
4.40
72
4.95
38
1.67
31
0.00
1
0.00
1
0.00
1
0.00
1
0.11
59
0.01
8
CFNettwo views3.72
63
1.10
93
5.03
74
2.49
113
1.59
81
4.90
73
0.22
24
11.38
88
9.88
92
4.80
28
11.25
79
6.44
56
3.68
58
8.33
79
3.00
52
0.00
1
0.00
1
0.00
1
0.00
1
0.22
98
0.07
47
NVstereo2Dtwo views4.51
88
0.82
62
6.86
113
3.28
141
3.38
132
8.16
104
3.13
98
10.51
74
15.15
125
4.90
29
6.89
39
7.87
74
4.78
82
9.88
107
3.91
72
0.01
48
0.00
1
0.00
1
0.06
113
0.02
14
0.58
137
FENettwo views2.19
25
0.34
9
3.04
31
2.05
82
0.26
25
2.82
31
0.13
15
7.02
36
5.55
30
4.97
30
1.94
6
4.91
39
3.39
51
4.71
35
2.50
43
0.02
65
0.03
81
0.00
1
0.00
1
0.00
1
0.21
93
Gwc-CoAtRStwo views2.02
20
0.33
7
2.61
16
1.04
29
0.30
27
3.56
45
0.40
34
5.89
26
5.94
35
5.08
31
5.01
21
5.55
47
1.72
28
1.60
9
0.91
16
0.01
48
0.09
115
0.00
1
0.25
139
0.01
7
0.02
14
NOSS_ROBtwo views3.30
50
0.46
20
2.62
17
2.08
83
1.01
65
5.60
79
0.74
62
10.37
72
11.48
105
5.15
32
8.43
56
5.67
48
1.73
29
7.97
70
2.34
42
0.02
65
0.06
100
0.00
1
0.00
1
0.07
45
0.14
76
CFNet-pseudotwo views3.23
47
0.36
10
3.58
42
2.13
88
1.45
77
3.78
51
0.70
57
12.67
109
9.52
87
5.16
33
12.28
93
2.62
29
1.81
32
5.36
40
3.08
55
0.01
48
0.00
1
0.00
1
0.00
1
0.00
1
0.07
47
GEStwo views2.49
33
0.38
13
4.29
59
1.58
53
0.05
3
4.58
68
1.07
69
9.70
59
3.39
6
5.21
34
6.64
36
1.84
23
3.36
50
4.86
37
2.54
45
0.06
100
0.01
54
0.06
127
0.01
82
0.12
64
0.03
27
HCRNettwo views2.56
34
0.53
29
3.35
36
0.24
7
3.39
134
2.19
18
0.23
25
6.89
35
5.50
27
5.26
35
4.79
15
5.27
43
2.78
44
7.71
64
2.89
50
0.00
1
0.02
70
0.00
1
0.00
1
0.04
31
0.04
38
RASNettwo views4.52
90
0.61
38
4.42
62
3.42
144
4.68
161
4.58
68
0.99
67
9.54
58
8.01
71
5.28
36
11.42
81
10.34
96
8.88
122
9.28
100
8.68
120
0.15
115
0.00
1
0.00
1
0.00
1
0.03
26
0.04
38
MSMDNettwo views2.02
20
0.37
11
2.84
26
1.14
34
0.34
30
3.73
50
0.53
40
6.21
29
3.55
10
5.32
37
5.17
23
5.85
52
1.74
30
2.23
18
0.91
16
0.01
48
0.10
116
0.00
1
0.24
137
0.02
14
0.02
14
DN-CSS_ROBtwo views2.69
37
1.40
110
5.34
81
2.31
102
0.75
49
3.14
39
0.06
9
6.11
28
3.87
12
5.34
38
12.18
90
2.34
27
1.22
18
7.84
68
1.48
28
0.03
79
0.00
1
0.00
1
0.00
1
0.35
117
0.03
27
GANet-RSSMtwo views3.27
49
0.60
36
3.38
37
2.94
131
2.00
100
2.61
25
0.48
38
10.93
85
6.11
40
5.47
39
10.20
71
6.57
57
5.44
94
6.25
47
2.23
41
0.00
1
0.00
1
0.08
132
0.00
1
0.17
83
0.03
27
CFNet-RSSMtwo views2.11
23
0.33
7
2.71
21
1.04
29
0.30
27
3.21
40
0.41
35
6.67
34
6.96
51
5.62
40
4.58
14
5.40
45
1.71
27
1.86
13
0.87
15
0.00
1
0.08
110
0.00
1
0.32
144
0.02
14
0.02
14
RALAANettwo views2.46
32
1.09
91
3.70
46
2.55
116
0.80
54
3.37
41
0.15
18
7.44
39
5.54
29
5.65
41
6.01
32
3.54
33
1.13
16
6.34
49
1.58
30
0.00
1
0.01
54
0.00
1
0.05
110
0.21
95
0.03
27
cscssctwo views2.28
27
0.61
38
3.81
49
0.22
4
0.07
7
1.69
12
0.11
12
5.37
19
11.84
109
5.80
42
5.17
23
1.44
16
5.41
91
2.00
15
1.92
34
0.00
1
0.00
1
0.00
1
0.00
1
0.02
14
0.18
86
222two views2.20
26
0.61
38
5.31
80
0.31
10
0.19
22
1.69
12
0.11
12
5.37
19
8.54
82
5.80
42
5.17
23
1.44
16
5.41
91
2.00
15
1.92
34
0.00
1
0.00
1
0.00
1
0.00
1
0.04
31
0.18
86
csctwo views2.28
27
0.61
38
3.81
49
0.22
4
0.07
7
1.69
12
0.11
12
5.37
19
11.84
109
5.80
42
5.17
23
1.44
16
5.41
91
2.00
15
1.92
34
0.00
1
0.00
1
0.00
1
0.00
1
0.02
14
0.18
86
PSMNet-RSSMtwo views3.33
53
0.77
55
3.22
35
2.12
86
1.90
99
2.33
20
0.71
59
11.17
86
5.83
33
5.90
45
11.43
82
7.04
62
4.83
85
5.96
44
3.17
58
0.00
1
0.00
1
0.02
107
0.00
1
0.08
48
0.02
14
GwcNet-RSSMtwo views3.77
65
1.05
87
5.06
75
2.21
94
1.87
97
2.36
22
1.52
78
8.98
50
7.96
70
5.91
46
14.59
110
7.94
77
3.50
53
6.43
50
5.70
89
0.00
1
0.00
1
0.04
122
0.00
1
0.20
90
0.08
52
AdaStereotwo views3.09
43
0.58
34
3.04
31
2.84
124
0.48
39
4.08
56
1.29
75
12.16
103
7.77
67
6.03
47
9.62
66
5.79
51
1.53
25
4.56
34
1.93
37
0.00
1
0.00
1
0.00
1
0.00
1
0.02
14
0.02
14
Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi: AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021.
GwcNet-DCAtwo views2.08
22
0.64
44
3.81
49
0.31
10
0.17
20
1.70
15
0.25
28
5.23
16
8.47
80
6.07
48
5.30
29
1.41
15
4.23
68
1.85
12
2.02
38
0.00
1
0.00
1
0.00
1
0.00
1
0.04
31
0.19
89
raftrobusttwo views1.86
17
0.74
54
1.94
4
2.15
89
2.24
108
2.74
28
0.53
40
4.89
13
4.05
14
6.09
49
3.89
12
1.64
20
2.55
39
2.44
21
1.12
24
0.00
1
0.03
81
0.00
1
0.00
1
0.12
64
0.08
52
APVNettwo views5.98
102
1.72
128
8.72
127
3.21
139
4.04
150
12.31
135
1.81
84
19.09
155
6.10
39
6.13
50
13.41
101
10.69
99
6.30
101
11.26
122
13.90
148
0.05
96
0.02
70
0.11
137
0.03
99
0.53
129
0.20
92
PSMNet_ROBtwo views5.02
94
1.63
123
6.03
95
1.90
70
1.83
96
9.57
115
6.35
141
15.58
138
7.23
57
6.15
51
10.48
73
12.22
109
4.16
66
8.02
71
8.71
121
0.02
65
0.01
54
0.01
95
0.10
123
0.20
90
0.12
71
pcwnet_v2two views2.93
42
0.29
1
3.01
29
2.39
106
1.07
67
2.73
27
0.89
66
11.37
87
6.25
41
6.20
52
11.49
83
2.71
30
2.74
43
4.22
32
2.75
49
0.06
100
0.05
93
0.00
1
0.00
1
0.01
7
0.37
118
AFF-stereotwo views2.59
36
0.68
49
2.35
13
1.55
51
0.17
20
1.67
9
0.08
10
5.75
25
6.60
46
6.20
52
12.13
87
6.16
55
2.36
37
4.75
36
1.11
23
0.02
65
0.02
70
0.00
1
0.00
1
0.23
103
0.05
43
DMCAtwo views2.82
41
0.64
44
4.45
63
1.61
56
0.89
58
3.86
53
0.57
47
9.18
52
5.10
23
6.24
54
6.49
34
7.17
67
2.13
34
3.31
24
4.73
80
0.00
1
0.01
54
0.00
1
0.00
1
0.04
31
0.02
14
cf-rtwo views3.42
55
0.81
61
3.97
53
2.41
109
2.78
122
2.85
33
0.64
54
8.44
45
6.32
42
6.25
55
11.57
84
8.97
84
3.54
55
5.93
43
3.83
70
0.00
1
0.00
1
0.00
1
0.00
1
0.09
52
0.07
47
FADNet-RVC-Resampletwo views3.79
66
1.62
122
12.06
141
1.43
45
0.66
44
5.94
83
2.41
88
10.18
70
8.58
83
6.28
56
4.22
13
5.33
44
4.80
84
7.71
64
3.19
59
0.17
119
0.21
139
0.17
145
0.12
124
0.41
126
0.29
114
TDLMtwo views4.11
75
1.11
94
3.54
41
1.62
57
1.04
66
3.91
54
7.41
151
10.60
76
10.67
98
6.38
57
12.59
96
5.95
53
4.77
80
8.79
89
3.04
53
0.58
152
0.00
1
0.01
95
0.00
1
0.19
89
0.12
71
DIP-Stereotwo views1.97
19
0.64
44
2.95
28
0.17
2
0.10
10
4.83
71
0.13
15
8.60
47
4.06
15
6.42
58
4.92
17
0.44
8
0.72
10
3.57
26
1.80
32
0.00
1
0.01
54
0.00
1
0.00
1
0.05
39
0.04
38
Zihua Zheng, Ni Nie, Zhi Ling, Pengfei Xiong, Jiangyu Liu, Hao Wang, Jiankun Li: DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow. cvpr2022
HITNettwo views2.79
40
0.77
55
4.02
54
2.03
80
0.11
13
5.58
78
0.59
48
9.24
54
5.15
24
6.42
58
7.26
44
3.66
34
2.92
46
4.07
31
3.87
71
0.00
1
0.00
1
0.00
1
0.00
1
0.06
43
0.02
14
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
CC-Net-ROBtwo views7.68
128
9.21
174
7.46
119
3.82
154
3.66
143
15.68
147
5.02
127
17.95
147
10.45
97
6.44
60
14.00
106
7.63
71
4.77
80
10.75
116
3.10
57
5.99
177
2.46
175
16.28
179
1.08
166
6.30
176
1.56
161
DISCOtwo views6.28
108
0.57
33
5.78
89
3.43
145
1.17
69
11.22
129
3.39
104
12.14
102
16.16
130
6.52
61
11.22
78
16.96
132
6.32
102
19.51
160
10.74
136
0.00
1
0.00
1
0.00
1
0.00
1
0.35
117
0.11
67
PS-NSSStwo views3.90
70
1.84
134
4.55
65
0.87
24
2.95
125
4.10
57
2.00
86
10.77
80
8.23
76
6.75
62
14.63
111
5.01
40
2.24
36
8.41
81
2.91
51
0.33
138
0.03
81
0.83
166
0.00
1
0.82
144
0.70
143
HSMtwo views4.00
74
0.79
59
3.16
34
1.59
55
2.17
103
6.77
94
1.11
71
12.28
104
6.35
45
6.75
62
8.11
54
13.90
117
5.37
90
8.85
90
2.71
47
0.00
1
0.00
1
0.00
1
0.00
1
0.02
14
0.02
14
test_xeample3two views3.34
54
0.93
76
4.33
60
0.28
9
0.12
14
3.46
42
3.98
111
6.58
33
11.84
109
6.79
64
13.56
102
3.52
32
4.23
68
3.71
28
2.05
40
0.01
48
0.01
54
0.00
1
0.00
1
0.02
14
1.40
158
GEStereo_RVCtwo views3.74
64
0.73
53
4.95
72
2.01
79
1.24
71
4.36
61
3.07
96
11.77
95
7.80
68
6.87
65
6.52
35
7.70
73
4.31
71
8.98
93
4.19
74
0.03
79
0.01
54
0.02
107
0.02
89
0.13
72
0.11
67
BEATNet_4xtwo views3.24
48
1.27
104
5.89
92
1.56
52
0.10
10
5.26
75
1.07
69
10.08
66
5.50
27
6.89
66
7.73
51
4.53
38
4.13
64
5.05
39
5.27
84
0.04
88
0.05
93
0.00
1
0.00
1
0.23
103
0.23
99
PA-Nettwo views4.98
92
1.47
113
7.42
118
2.40
107
2.14
102
8.73
107
3.64
109
12.42
105
13.11
116
7.03
67
7.57
49
7.88
75
6.52
104
10.16
110
7.82
108
0.02
65
0.03
81
0.00
1
0.00
1
0.11
59
1.07
153
Zhibo Rao, Mingyi He, Yuchao Dai, Zhelun Shen: Patch Attention Network with Generative Adversarial Model for Semi-Supervised Binocular Disparity Prediction.
RAFT-Stereo + iAFFtwo views2.12
24
0.58
34
2.43
14
1.27
37
0.16
17
1.60
7
0.14
17
5.17
15
5.90
34
7.10
68
10.10
69
3.06
31
1.74
30
1.87
14
0.97
20
0.01
48
0.02
70
0.00
1
0.00
1
0.23
103
0.02
14
hitnet-ftcopylefttwo views3.66
59
0.65
47
2.79
25
0.89
25
0.72
48
4.25
58
0.55
44
9.11
51
7.52
63
7.14
69
10.19
70
12.49
111
4.70
78
7.44
60
4.41
76
0.03
79
0.00
1
0.06
127
0.00
1
0.20
90
0.04
38
UNettwo views3.97
72
0.61
38
6.50
106
1.68
61
3.22
127
9.82
117
0.31
29
9.50
56
5.32
25
7.20
70
6.35
33
10.59
97
5.91
100
6.93
55
5.49
87
0.00
1
0.00
1
0.00
1
0.00
1
0.02
14
0.01
8
MaskLacGwcNet_RVCtwo views5.97
101
5.36
164
5.02
73
3.75
153
3.57
139
15.81
148
4.27
116
11.72
93
6.96
51
7.23
71
8.47
57
9.09
85
2.66
40
9.36
103
2.71
47
7.49
178
2.32
174
2.01
175
0.08
117
6.77
177
4.67
174
psm_uptwo views3.85
69
0.82
62
3.01
29
2.00
78
2.58
119
5.28
76
3.34
102
10.85
83
6.33
43
7.27
72
7.32
45
10.15
91
9.02
124
6.19
45
2.51
44
0.22
126
0.01
54
0.00
1
0.00
1
0.12
64
0.03
27
HGLStereotwo views4.25
83
0.52
25
4.65
69
3.09
134
5.18
164
6.51
92
0.73
61
10.37
72
6.74
49
7.32
73
12.44
95
7.00
59
7.21
111
7.46
61
5.51
88
0.00
1
0.02
70
0.00
1
0.00
1
0.06
43
0.10
64
FINETtwo views5.32
95
1.14
96
10.04
133
2.17
90
3.67
144
6.49
90
6.76
146
11.68
92
22.08
152
7.42
74
12.15
88
4.24
37
3.61
56
9.25
99
5.35
86
0.04
88
0.04
88
0.00
1
0.00
1
0.17
83
0.09
56
DGSMNettwo views6.47
112
2.61
146
13.64
150
3.46
146
3.74
145
8.97
109
6.01
133
14.15
124
13.01
115
7.46
75
14.10
107
9.94
90
4.79
83
10.44
112
6.22
93
1.30
166
1.70
172
1.80
173
1.52
173
2.27
166
2.35
170
RAFT + AFFtwo views4.30
86
1.55
118
5.84
90
1.43
45
2.36
110
5.94
83
6.72
145
10.01
63
7.56
64
7.55
76
8.96
63
7.09
65
6.73
109
8.57
85
4.02
73
0.02
65
0.47
161
0.00
1
0.01
82
0.56
130
0.54
135
CVANet_RVCtwo views4.16
77
1.16
98
3.60
43
1.94
74
1.46
78
3.92
55
4.68
125
10.89
84
8.34
78
7.58
77
10.84
76
10.27
94
6.62
106
8.56
84
2.69
46
0.39
142
0.00
1
0.00
1
0.01
82
0.21
95
0.09
56
iResNettwo views3.68
60
0.91
71
7.94
122
2.97
132
0.34
30
4.44
66
0.48
38
7.70
40
9.74
90
7.72
78
12.74
97
4.03
35
2.87
45
8.05
73
3.37
63
0.02
65
0.01
54
0.00
1
0.00
1
0.10
53
0.09
56
DeepPruner_ROBtwo views3.52
57
1.14
96
4.06
55
1.12
33
1.65
84
3.65
46
0.83
64
13.96
121
4.47
20
7.80
79
10.84
76
7.05
64
2.16
35
8.14
77
3.08
55
0.07
104
0.03
81
0.00
1
0.01
82
0.32
112
0.06
45
AANet_RVCtwo views5.01
93
1.74
129
6.38
102
1.96
76
1.29
74
2.26
19
1.69
81
10.07
65
18.53
138
7.88
80
18.15
129
8.49
82
2.70
41
10.59
115
7.04
101
0.96
162
0.15
129
0.02
107
0.00
1
0.13
72
0.12
71
iResNet_ROBtwo views4.23
81
1.02
84
4.90
71
2.18
91
0.93
63
2.92
35
0.37
33
15.10
133
16.91
135
7.89
81
10.51
74
7.03
60
3.07
47
8.16
78
3.46
67
0.01
48
0.00
1
0.00
1
0.00
1
0.10
53
0.02
14
UPFNettwo views3.82
67
0.47
21
4.34
61
2.21
94
3.38
132
7.26
98
2.69
92
9.89
61
5.96
36
7.98
82
7.53
48
7.89
76
3.15
48
7.72
66
5.88
91
0.01
48
0.02
70
0.00
1
0.00
1
0.04
31
0.06
45
delettwo views4.27
84
0.72
52
4.50
64
1.07
31
3.75
146
10.79
127
4.04
112
9.95
62
7.89
69
8.09
83
8.89
60
8.46
79
3.81
60
7.56
63
5.80
90
0.00
1
0.00
1
0.00
1
0.00
1
0.11
59
0.02
14
DeepPrunerFtwo views6.75
116
2.69
147
23.31
165
3.68
149
7.16
172
3.78
51
4.29
117
13.42
116
20.13
148
8.13
84
10.46
72
7.18
68
8.06
115
11.10
120
9.44
126
0.24
128
0.15
129
0.29
154
0.42
152
0.66
139
0.45
125
ac_64two views3.70
62
0.47
21
3.50
40
2.87
125
3.50
137
5.91
82
0.72
60
10.17
69
4.34
18
8.16
85
5.80
31
10.82
100
5.64
96
7.08
56
4.73
80
0.03
79
0.00
1
0.00
1
0.00
1
0.08
48
0.14
76
Nwc_Nettwo views6.97
124
1.25
102
6.63
108
3.82
154
3.37
131
10.83
128
1.67
80
19.56
163
11.35
103
8.36
86
23.62
142
17.19
134
11.44
136
11.21
121
8.08
114
0.80
157
0.00
1
0.00
1
0.02
89
0.13
72
0.09
56
NCC-stereotwo views6.77
118
1.49
114
6.48
104
2.92
128
4.40
152
7.43
99
3.61
107
19.52
161
13.29
117
8.39
87
16.91
121
15.96
126
12.13
137
12.85
131
7.70
106
1.47
167
0.11
120
0.01
95
0.42
152
0.14
79
0.24
102
Abc-Nettwo views6.77
118
1.49
114
6.48
104
2.92
128
4.40
152
7.43
99
3.61
107
19.52
161
13.29
117
8.39
87
16.91
121
15.96
126
12.13
137
12.85
131
7.70
106
1.47
167
0.11
120
0.01
95
0.42
152
0.14
79
0.24
102
Xing Li, Yangyu Fan, Guoyun Lv, and Haoyue Ma: Area-based Correlation and Non-local Attention Network for Stereo Matching. The Visual Computer
Syn2CoExtwo views6.32
109
2.72
148
9.33
130
2.45
111
1.67
86
8.59
105
3.32
101
18.08
149
12.27
113
8.53
89
21.08
135
10.30
95
9.80
128
9.30
101
7.86
109
0.01
48
0.00
1
0.00
1
0.00
1
0.63
137
0.43
124
NLCA_NET_v2_RVCtwo views3.84
68
1.06
88
5.23
79
2.72
122
3.27
128
4.36
61
0.61
49
10.71
78
7.56
64
8.75
90
7.89
52
9.86
89
3.90
62
7.15
58
3.44
66
0.14
113
0.02
70
0.02
107
0.03
99
0.04
31
0.03
27
Zhibo Rao, Mingyi He, Yuchao Dai, Zhidong Zhu, Bo Li, and Renjie He.: NLCA-Net: A non-local context attention network for stereo matching.
MMNettwo views4.16
77
0.77
55
5.47
84
1.40
43
1.67
86
10.78
126
0.63
52
8.64
49
8.47
80
8.80
91
8.33
55
7.51
69
6.61
105
7.53
62
6.54
98
0.00
1
0.00
1
0.00
1
0.00
1
0.03
26
0.05
43
HSM-Net_RVCpermissivetwo views4.20
79
0.32
2
2.76
24
0.63
20
0.69
46
6.95
96
1.69
81
11.96
97
8.36
79
8.83
92
12.17
89
15.18
124
4.21
67
6.91
54
3.30
62
0.02
65
0.02
70
0.00
1
0.00
1
0.01
7
0.01
8
Gengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan: Hierarchical Deep Stereo Matching on High-resolution Images. CVPR 2019
ARAFTtwo views3.13
45
1.11
94
7.34
116
0.42
16
0.14
15
4.52
67
2.99
95
7.41
38
5.97
37
8.85
93
7.06
42
5.20
42
1.25
19
8.49
82
1.44
27
0.00
1
0.03
81
0.00
1
0.00
1
0.33
113
0.11
67
CBMV_ROBtwo views4.14
76
0.52
25
3.14
33
1.30
38
0.77
52
6.92
95
1.97
85
10.11
68
9.58
88
8.92
94
14.20
109
7.12
66
5.90
99
8.65
86
3.50
68
0.01
48
0.05
93
0.00
1
0.00
1
0.04
31
0.09
56
RAFT-Stereopermissivetwo views2.44
30
0.32
2
1.93
2
0.94
26
0.16
17
3.67
47
0.61
49
6.37
31
3.08
4
9.14
95
17.44
127
1.80
21
0.77
11
1.76
10
0.70
8
0.00
1
0.01
54
0.00
1
0.00
1
0.01
7
0.03
27
Lahav Lipson, Zachary Teed, and Jia Deng: RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. 3DV
R-Stereo Traintwo views2.44
30
0.32
2
1.93
2
0.94
26
0.16
17
3.67
47
0.61
49
6.37
31
3.08
4
9.14
95
17.44
127
1.80
21
0.77
11
1.76
10
0.70
8
0.00
1
0.01
54
0.00
1
0.00
1
0.01
7
0.03
27
MLCVtwo views3.44
56
0.88
68
5.60
86
1.39
42
0.25
24
4.36
61
0.33
30
7.25
37
7.28
58
9.17
97
12.24
92
5.09
41
2.47
38
9.15
97
3.23
61
0.00
1
0.00
1
0.00
1
0.00
1
0.10
53
0.02
14
DMCA-RVCcopylefttwo views3.17
46
1.26
103
6.39
103
2.10
85
1.51
80
3.02
38
0.56
46
7.84
41
5.06
22
9.23
98
5.19
27
8.46
79
2.72
42
6.31
48
3.22
60
0.06
100
0.11
120
0.09
135
0.02
89
0.16
81
0.08
52
acv_fttwo views3.69
61
0.53
29
4.58
68
2.31
102
4.71
162
7.44
101
0.86
65
8.54
46
5.70
31
9.29
99
9.26
64
5.77
49
4.15
65
2.24
19
8.13
115
0.00
1
0.00
1
0.00
1
0.00
1
0.29
107
0.01
8
S-Stereotwo views6.63
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0.84
64
9.67
132
3.15
137
3.48
136
6.49
90
6.22
136
12.99
112
22.84
153
9.48
100
15.51
116
12.00
108
8.43
118
8.04
72
10.70
135
0.12
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0.17
134
0.00
1
0.38
149
0.13
72
1.92
164
AF-Nettwo views7.78
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112
6.68
109
3.37
142
4.50
159
8.61
106
2.69
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17.07
144
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149
9.52
101
24.02
143
20.31
150
14.59
149
11.58
124
9.84
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0.61
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0.00
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0.38
120
0.12
71
RPtwo views6.84
121
1.29
108
5.53
85
3.92
157
5.18
164
6.32
86
3.53
105
11.73
94
15.31
126
9.54
102
22.38
139
18.25
139
14.47
148
10.11
109
7.49
104
0.91
161
0.01
54
0.12
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0.15
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0.33
113
0.19
89
Anonymous Stereotwo views6.16
106
3.15
155
23.75
166
2.97
132
2.48
116
4.39
65
13.30
168
9.21
53
9.86
91
9.56
103
8.76
58
6.79
58
1.99
33
13.50
137
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146
0.01
48
0.05
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1
0.06
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0.19
89
NCCL2two views5.88
100
1.59
120
5.44
82
1.87
66
0.92
61
9.55
114
11.55
166
12.11
99
9.94
93
9.67
104
8.85
59
22.28
155
7.41
112
8.78
88
7.17
102
0.01
48
0.00
1
0.03
115
0.00
1
0.13
72
0.23
99
iResNetv2_ROBtwo views4.28
85
1.43
111
7.17
115
2.91
126
1.26
72
4.36
61
1.62
79
13.64
119
10.25
96
9.83
105
11.41
80
7.68
72
4.00
63
7.75
67
1.85
33
0.00
1
0.00
1
0.00
1
0.00
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0.37
119
0.09
56
STTStereotwo views3.60
58
0.93
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6.34
100
2.71
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3.68
49
0.63
52
9.42
55
6.73
48
9.87
106
6.97
40
8.84
83
3.65
57
6.85
53
3.04
53
0.00
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1
0.02
14
0.02
14
stereogantwo views7.69
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68
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114
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18.98
157
3.23
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16.52
141
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145
9.93
107
18.92
131
20.50
151
9.04
125
14.07
141
6.14
92
0.26
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88
0.21
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0.63
137
0.33
116
GwcNetcopylefttwo views6.42
111
1.97
138
10.92
136
2.59
118
5.58
167
11.55
131
2.21
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14.10
123
16.52
134
10.04
108
17.19
126
10.86
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5.61
95
9.23
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8.84
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0.01
48
0.06
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0.03
115
0.08
117
0.56
130
0.40
121
GANetREF_RVCpermissivetwo views6.56
113
2.89
150
7.58
121
3.41
143
0.40
33
12.96
139
9.58
158
15.09
131
17.25
137
10.33
109
10.62
75
12.27
110
8.16
116
12.21
127
4.53
78
0.41
144
0.00
1
0.00
1
0.02
89
3.12
169
0.39
120
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
PWCDC_ROBbinarytwo views7.92
133
3.17
157
7.48
120
5.73
169
4.40
152
10.45
123
0.35
32
14.52
128
28.19
161
10.36
110
31.27
159
7.04
62
9.14
126
13.22
136
8.78
122
2.74
172
0.02
70
0.00
1
0.00
1
1.31
156
0.17
84
FAT-Stereotwo views6.78
120
0.68
49
6.80
111
2.30
100
1.77
94
5.63
80
4.20
115
18.79
152
18.62
139
10.53
111
17.15
124
18.52
141
13.74
147
8.86
91
7.38
103
0.03
79
0.15
129
0.01
95
0.07
115
0.12
64
0.26
108
DLCB_ROBtwo views4.51
88
0.91
71
3.78
47
2.19
92
1.07
67
6.28
85
3.09
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9.78
60
7.72
66
10.65
112
12.97
98
13.91
118
3.71
59
8.72
87
5.30
85
0.00
1
0.00
1
0.00
1
0.00
1
0.03
26
0.10
64
GANettwo views6.22
107
1.07
89
4.07
56
2.27
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0.89
58
9.19
110
9.52
157
12.02
98
8.13
75
10.72
113
29.09
155
13.86
116
7.52
114
11.00
119
4.39
75
0.36
140
0.00
1
0.02
107
0.02
89
0.12
64
0.08
52
DSFCAtwo views4.21
80
0.50
24
5.45
83
1.34
39
1.68
88
7.04
97
4.51
122
10.73
79
7.00
53
10.78
114
6.80
37
8.48
81
4.63
76
9.91
108
5.12
83
0.02
65
0.06
100
0.02
107
0.03
99
0.08
48
0.03
27
RYNettwo views6.34
110
0.89
70
5.88
91
1.41
44
4.48
158
15.97
149
4.18
114
13.41
115
16.49
131
10.81
115
7.00
41
14.33
120
8.72
121
9.43
104
13.71
147
0.00
1
0.01
54
0.00
1
0.00
1
0.02
14
0.07
47
SGM-Foresttwo views4.96
91
0.32
2
2.84
26
1.21
35
0.64
43
10.23
122
6.64
144
11.55
90
10.98
99
10.94
116
13.59
103
11.65
106
4.30
70
8.94
92
4.63
79
0.11
109
0.04
88
0.00
1
0.00
1
0.05
39
0.46
127
Johannes L. Schönberger, Sudipta Sinha, Marc Pollefeys: Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching. ECCV 2018
RGCtwo views6.88
123
2.23
142
6.13
96
4.05
158
4.73
163
8.94
108
2.78
94
15.19
135
11.74
108
11.13
117
19.34
132
17.86
136
10.42
131
13.02
134
8.03
113
0.73
155
0.01
54
0.24
152
0.41
151
0.31
111
0.38
119
PDISCO_ROBtwo views9.62
147
1.99
139
11.51
138
9.88
176
9.61
177
21.48
161
3.83
110
19.33
157
28.49
162
11.27
118
14.17
108
19.92
148
5.02
86
16.35
153
9.18
125
5.28
175
0.41
155
0.14
142
0.09
121
2.05
162
2.36
171
SuperBtwo views8.10
135
3.15
155
24.67
167
2.65
119
1.23
70
9.88
118
4.29
117
10.18
70
30.07
164
11.53
119
12.18
90
6.12
54
6.65
107
10.50
113
14.47
151
0.14
113
0.11
120
0.35
158
0.25
139
13.06
179
0.48
128
XQCtwo views8.43
139
3.58
159
16.40
155
2.92
128
2.17
103
13.22
141
3.60
106
14.64
129
25.86
158
11.87
120
12.04
86
15.06
123
10.67
132
15.24
148
19.41
156
0.39
142
0.08
110
0.05
125
0.07
115
0.84
145
0.45
125
DRN-Testtwo views5.87
99
0.98
80
5.89
92
2.69
120
3.65
142
12.37
136
3.35
103
20.07
165
10.20
95
11.93
121
12.31
94
11.06
104
5.31
89
7.89
69
9.05
124
0.04
88
0.05
93
0.04
122
0.04
108
0.18
88
0.25
105
CBMVpermissivetwo views5.35
96
0.91
71
3.67
45
1.62
57
0.44
35
10.09
120
7.19
150
12.49
106
12.33
114
12.22
122
14.69
112
10.93
102
6.48
103
8.51
83
4.96
82
0.02
65
0.15
129
0.00
1
0.00
1
0.17
83
0.17
84
Konstantinos Batsos, Changjiang Cai, Philippos Mordohai: CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation. Computer Vision and Pattern Recognition (CVPR) 2018
StereoDRNettwo views5.59
97
1.75
130
6.80
111
3.12
136
4.45
156
10.61
125
4.35
119
18.80
153
9.73
89
12.22
122
6.87
38
11.44
105
4.65
77
8.09
76
8.26
116
0.02
65
0.11
120
0.00
1
0.03
99
0.20
90
0.28
113
DPSNettwo views10.14
150
1.88
137
16.82
156
1.85
65
1.73
90
24.84
166
17.20
178
19.92
164
27.41
160
12.23
124
13.62
104
16.52
130
18.35
154
14.42
144
12.50
144
0.78
156
0.54
164
0.08
132
0.25
139
1.18
152
0.59
140
NaN_ROBtwo views6.00
103
1.24
101
6.29
98
1.34
39
1.68
88
9.60
116
10.31
162
15.09
131
15.79
128
12.62
125
8.95
62
11.67
107
5.83
97
11.78
125
6.41
97
0.05
96
0.13
126
0.08
132
0.20
131
0.22
98
0.79
145
StereoDRNet-Refinedtwo views4.46
87
0.62
43
3.80
48
1.92
71
0.40
33
9.35
111
0.15
18
10.02
64
8.83
85
12.69
126
11.62
85
9.34
86
3.87
61
8.06
74
8.02
111
0.00
1
0.00
1
0.01
95
0.05
110
0.20
90
0.26
108
Rohan Chabra, Julian Straub, Chris Sweeney, Richard Newcombe, Henry Fuchs: StereoDRNet. CVPR
LALA_ROBtwo views6.58
114
1.80
133
6.25
97
1.26
36
0.94
64
10.08
119
9.02
154
16.00
139
11.51
106
12.74
127
13.02
99
24.77
157
5.25
88
10.56
114
8.02
111
0.04
88
0.05
93
0.00
1
0.02
89
0.10
53
0.25
105
PASMtwo views7.90
132
4.22
161
21.97
163
3.25
140
3.29
129
5.39
77
6.57
143
10.57
75
19.09
141
12.77
128
13.92
105
18.11
138
9.51
127
13.79
140
10.77
138
0.19
122
0.45
159
0.29
154
1.08
166
1.49
158
1.19
155
ccnettwo views6.87
122
0.92
74
5.15
77
3.09
134
2.18
105
11.78
133
4.90
126
17.97
148
8.79
84
12.79
129
20.20
133
16.00
129
8.35
117
9.12
95
14.17
150
0.42
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0.33
151
0.25
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0.09
121
0.40
125
0.48
128
ADCP+two views8.09
134
1.79
132
14.50
152
1.54
50
4.28
151
16.57
151
5.20
129
12.80
110
11.20
102
12.83
130
17.07
123
11.02
103
10.80
133
17.59
156
23.18
167
0.03
79
0.05
93
0.01
95
0.18
129
0.39
124
0.81
146
ETE_ROBtwo views5.80
98
1.77
131
6.33
99
1.44
47
0.78
53
6.43
89
6.90
147
12.53
107
8.08
72
12.93
131
14.89
113
21.13
153
5.87
98
9.83
106
6.57
99
0.04
88
0.01
54
0.00
1
0.02
89
0.08
48
0.33
116
ADCReftwo views7.27
125
1.38
109
16.37
154
2.52
114
3.30
130
11.63
132
3.16
99
10.80
81
9.35
86
13.03
132
25.27
149
8.17
78
8.92
123
8.06
74
21.81
164
0.15
115
0.08
110
0.16
144
0.34
147
0.38
120
0.58
137
DANettwo views6.02
104
1.23
100
8.45
126
3.86
156
3.94
149
7.64
103
1.34
77
9.51
57
7.00
53
13.39
133
15.53
117
15.99
128
7.02
110
12.14
126
12.37
143
0.19
122
0.12
125
0.02
107
0.03
99
0.13
72
0.56
136
Z Ling, K Yang, J Li, Y Zhang, X Gao, L Luo, L Xie: Domain-adaptive modules for stereo matching network. Neurocomputing 2021
ADCPNettwo views9.54
145
2.39
144
31.46
171
2.09
84
1.60
82
16.71
153
6.39
142
12.11
99
11.45
104
13.53
134
21.45
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19.41
145
10.94
134
14.38
143
21.54
162
0.27
134
1.16
167
0.39
161
1.49
171
0.58
133
1.45
159
CSANtwo views7.62
127
1.60
121
6.56
107
1.83
64
0.66
44
12.40
137
10.52
164
14.45
127
21.32
150
14.19
135
15.98
119
17.84
135
13.02
144
12.32
128
8.38
117
0.09
106
0.07
107
0.03
115
0.04
108
0.33
113
0.67
142
pmcnntwo views7.72
130
1.27
104
9.42
131
2.91
126
3.14
126
9.44
112
6.23
137
12.56
108
16.51
132
14.53
136
24.08
144
27.44
162
8.49
119
9.32
102
8.44
118
0.06
100
0.08
110
0.00
1
0.00
1
0.30
108
0.15
79
ADCLtwo views10.16
151
2.11
140
19.36
160
1.92
71
1.88
98
22.23
162
8.91
153
14.04
122
23.56
155
14.62
137
26.19
150
12.75
112
13.59
146
16.06
152
22.95
166
0.26
131
0.18
136
0.75
164
0.65
158
0.69
140
0.58
137
XPNet_ROBtwo views6.03
105
1.22
99
5.61
87
2.56
117
0.90
60
6.32
86
7.07
148
12.92
111
8.30
77
14.76
138
15.13
115
19.84
147
6.66
108
10.36
111
8.58
119
0.02
65
0.04
88
0.00
1
0.03
99
0.11
59
0.24
102
edge stereotwo views6.76
117
1.01
82
6.76
110
2.20
93
2.45
115
6.41
88
2.45
89
14.84
130
11.98
112
15.29
139
18.31
130
22.02
154
12.56
139
10.82
117
7.49
104
0.03
79
0.06
100
0.11
137
0.03
99
0.30
108
0.14
76
RTSCtwo views9.15
142
3.00
152
13.57
149
3.72
151
1.76
93
11.82
134
0.46
37
16.95
143
36.83
173
15.80
140
15.53
117
12.91
113
7.46
113
20.01
163
21.76
163
0.31
136
0.13
126
0.01
95
0.08
117
0.57
132
0.41
123
PWC_ROBbinarytwo views8.24
136
3.13
153
12.74
145
2.43
110
4.43
155
7.51
102
1.22
72
16.63
142
19.24
143
16.08
141
28.29
152
13.99
119
10.16
130
13.63
139
14.06
149
0.42
147
0.00
1
0.05
125
0.00
1
0.59
134
0.27
111
SAMSARAtwo views14.63
163
2.74
149
12.38
142
12.65
178
6.74
171
36.50
176
72.93
184
19.36
158
23.77
156
16.20
142
13.04
100
29.21
164
12.78
141
16.98
154
15.21
152
0.11
109
0.26
148
0.03
115
0.14
126
0.76
142
0.77
144
AnyNet_C32two views10.98
156
5.58
165
22.79
164
4.16
159
5.83
168
15.64
146
14.30
170
13.18
113
17.15
136
16.44
143
20.52
134
14.68
122
13.44
145
22.46
165
30.08
177
0.17
119
0.26
148
0.36
159
0.36
148
1.23
153
0.91
149
AnyNet_C01two views16.12
168
10.81
177
59.36
178
4.42
163
2.49
117
30.06
171
15.15
176
17.51
146
16.51
132
17.88
144
37.69
172
24.04
156
17.54
152
29.60
174
33.29
180
0.28
135
0.38
153
0.43
162
0.42
152
2.57
168
1.98
165
SHDtwo views9.61
146
2.60
145
12.46
143
3.69
150
3.54
138
9.47
113
1.25
73
20.16
166
37.84
176
18.19
145
21.24
136
16.96
132
12.83
143
14.47
145
16.05
153
0.32
137
0.13
126
0.01
95
0.08
117
0.38
120
0.48
128
FBW_ROBtwo views8.50
140
1.03
86
7.98
123
1.93
73
1.28
73
13.10
140
6.23
137
22.50
169
18.98
140
18.82
146
14.91
114
19.06
144
10.04
129
18.41
157
9.83
130
0.62
154
0.22
140
1.82
174
0.82
162
0.99
149
1.36
157
SANettwo views10.64
154
1.86
136
10.91
135
1.76
63
0.71
47
14.62
145
9.23
156
19.18
156
37.14
174
19.22
147
27.96
151
25.86
160
19.11
158
13.02
134
10.63
134
0.08
105
0.06
100
0.03
115
0.02
89
0.62
136
0.81
146
MFN_U_SF_DS_RVCtwo views9.78
148
4.27
162
14.47
151
2.29
99
2.85
124
23.40
165
13.62
169
13.60
117
19.54
144
19.42
148
24.27
145
16.74
131
8.59
120
17.05
155
7.98
110
1.25
165
1.68
171
0.17
145
2.63
174
0.72
141
1.04
151
G-Nettwo views8.41
138
1.54
117
10.97
137
5.73
169
3.60
140
26.19
167
4.41
120
10.10
67
7.42
59
19.71
149
24.99
148
14.38
121
15.83
150
10.99
118
9.53
128
0.50
151
0.46
160
0.19
148
0.25
139
0.80
143
0.66
141
psmorigintwo views7.34
126
1.58
119
18.31
158
2.35
104
0.87
57
6.72
93
1.70
83
10.63
77
7.14
55
19.77
150
22.71
140
20.13
149
11.34
135
12.96
133
9.49
127
0.04
88
0.17
134
0.06
127
0.17
128
0.21
95
0.50
131
DispFullNettwo views17.47
174
26.01
179
33.98
173
22.58
180
20.86
180
13.84
144
1.28
74
16.50
140
26.27
159
19.97
151
17.17
125
20.52
152
18.49
155
22.86
167
10.76
137
5.13
174
2.83
177
30.72
181
7.72
179
20.86
180
11.01
180
MADNet+two views27.07
180
33.84
180
90.97
183
20.14
179
7.47
176
48.43
182
47.10
181
35.43
180
36.46
172
20.11
152
30.05
157
25.29
158
35.08
177
45.50
181
50.28
181
2.13
169
2.00
173
1.19
172
0.76
161
4.71
172
4.43
173
MSMD_ROBtwo views9.28
144
1.09
91
4.65
69
1.58
53
0.39
32
16.52
150
4.41
120
13.60
117
14.87
124
22.34
153
39.89
173
25.67
159
20.71
162
12.42
129
6.98
100
0.34
139
0.03
81
0.00
1
0.00
1
0.05
39
0.09
56
ADCStwo views13.02
159
4.93
163
28.38
170
3.17
138
2.67
120
13.61
143
10.83
165
18.70
151
33.46
168
22.59
154
24.78
147
19.59
146
18.51
156
23.40
168
32.16
179
0.10
108
0.19
138
0.37
160
0.18
129
1.26
154
1.46
160
RTSAtwo views18.87
176
9.32
175
86.48
181
4.95
166
6.10
169
42.08
179
14.70
172
15.49
136
41.06
178
22.65
155
32.32
161
13.77
114
19.54
159
37.98
177
28.96
174
0.41
144
0.23
142
0.00
1
0.02
89
0.91
146
0.50
131
RTStwo views18.87
176
9.32
175
86.48
181
4.95
166
6.10
169
42.08
179
14.70
172
15.49
136
41.06
178
22.65
155
32.32
161
13.77
114
19.54
159
37.98
177
28.96
174
0.41
144
0.23
142
0.00
1
0.02
89
0.91
146
0.50
131
MFMNet_retwo views13.29
160
8.60
172
18.29
157
9.75
175
7.25
174
19.65
159
14.84
174
20.71
168
30.72
165
23.03
157
28.77
153
18.85
143
26.09
172
13.55
138
9.82
129
2.44
170
1.35
170
0.34
157
0.23
135
4.78
173
6.69
176
LSMtwo views14.01
162
5.95
166
33.49
172
6.78
173
43.61
181
10.22
121
9.98
161
15.16
134
22.93
154
23.07
158
32.34
163
18.52
141
12.67
140
15.45
149
11.10
139
0.16
118
0.51
163
0.09
135
0.32
144
1.08
150
16.85
181
ADCMidtwo views10.24
152
3.13
153
20.70
161
2.21
94
2.39
113
11.23
130
6.19
135
14.17
125
11.19
101
23.20
159
22.25
138
17.89
137
19.54
159
18.51
158
26.21
172
0.45
149
0.42
157
1.10
169
1.29
168
1.56
160
1.18
154
MFN_U_SF_RVCtwo views12.94
158
3.66
160
25.81
168
3.61
148
2.26
109
22.77
163