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
sorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
StereoIMtwo views2.96
1
2.05
110
7.26
44
3.35
4
2.54
141
1.78
3
0.28
4
8.41
5
5.58
4
2.77
1
3.62
2
7.05
44
4.60
44
5.95
4
3.33
48
0.01
2
0.05
47
0.00
1
0.00
1
0.19
44
0.39
45
MIF-Stereotwo views3.10
2
1.22
10
7.79
60
4.50
31
2.51
138
2.59
4
0.42
6
5.88
1
5.74
5
5.46
28
7.76
19
1.12
1
1.46
3
9.06
32
5.42
111
0.06
55
0.07
81
0.00
1
0.01
53
0.60
185
0.26
21
EGLCR-Stereotwo views3.41
3
1.28
17
6.47
29
4.22
21
1.36
78
5.18
46
1.24
24
11.58
25
5.47
3
3.80
9
3.40
1
8.10
59
1.69
8
9.53
45
2.23
3
0.09
77
0.89
248
0.01
55
0.00
1
0.24
56
1.42
168
Selective-IGEVtwo views3.46
4
1.32
20
5.92
17
4.55
32
2.27
131
4.65
17
2.07
77
11.50
23
5.81
6
3.19
2
4.75
6
5.46
36
1.77
9
11.24
68
2.37
11
0.05
38
0.82
237
0.00
1
0.20
187
0.10
11
1.17
137
CroCo-Stereocopylefttwo views3.51
5
2.49
182
8.03
68
9.10
251
1.26
75
0.97
1
0.96
17
11.24
22
8.52
46
3.79
8
4.87
7
7.93
58
4.44
42
3.26
1
2.76
29
0.03
16
0.00
1
0.00
1
0.00
1
0.34
102
0.16
14
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
GLC_STEREOtwo views3.61
6
1.35
22
3.91
4
6.86
161
0.23
1
4.69
20
1.61
42
9.80
9
7.20
21
5.64
29
9.11
26
5.19
32
2.02
10
10.25
50
3.70
59
0.07
66
0.04
40
0.22
215
0.00
1
0.24
56
0.17
16
AEACVtwo views3.74
7
1.42
30
6.45
27
5.61
77
6.24
276
4.69
20
1.54
40
7.61
3
7.19
20
3.59
6
7.87
20
4.20
19
6.43
89
6.07
6
1.96
1
0.03
16
1.03
260
0.04
95
0.54
278
0.23
54
2.12
251
CREStereotwo views3.75
8
1.21
7
3.79
3
2.66
2
0.66
22
5.52
58
0.39
5
10.77
16
14.18
96
7.14
32
10.54
39
5.25
33
3.54
20
6.27
8
2.88
39
0.04
22
0.01
6
0.03
84
0.01
53
0.05
2
0.05
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
LoStwo views3.83
9
1.25
12
4.39
8
3.29
3
0.58
19
4.87
30
1.15
20
11.00
17
13.34
86
5.02
19
10.69
40
4.14
17
3.78
23
9.15
36
3.20
46
0.08
70
0.03
33
0.09
133
0.00
1
0.13
28
0.35
29
IGEVStereo-DCAtwo views3.90
10
2.95
210
7.30
45
4.05
12
0.92
46
4.94
39
1.65
46
14.40
54
5.82
7
4.17
11
4.67
4
4.50
26
3.95
27
11.24
68
4.28
79
0.18
122
0.56
205
0.00
1
0.17
174
0.25
60
1.98
220
ff7two views3.92
11
2.12
128
7.30
45
4.22
21
1.47
86
4.90
32
1.65
46
14.40
54
5.82
7
5.08
22
5.59
12
3.45
8
4.61
45
11.48
75
2.76
29
0.04
22
0.98
253
0.00
1
0.17
174
0.35
106
1.98
220
fffftwo views3.92
11
2.12
128
7.30
45
4.22
21
1.47
86
4.90
32
1.65
46
14.40
54
5.82
7
5.08
22
5.59
12
3.45
8
4.61
45
11.48
75
2.76
29
0.04
22
0.98
253
0.00
1
0.17
174
0.35
106
1.98
220
11ttwo views3.92
11
2.12
128
7.30
45
4.22
21
1.47
86
4.90
32
1.65
46
14.40
54
5.82
7
5.08
22
5.59
12
3.45
8
4.61
45
11.48
75
2.76
29
0.04
22
0.98
253
0.00
1
0.17
174
0.35
106
1.98
220
ccc-4two views3.92
11
2.12
128
7.30
45
4.22
21
1.47
86
4.90
32
1.65
46
14.40
54
5.82
7
5.08
22
5.59
12
3.45
8
4.61
45
11.48
75
2.76
29
0.04
22
0.98
253
0.00
1
0.17
174
0.35
106
1.98
220
anonymousdsptwo views3.97
15
2.10
122
6.76
36
4.43
28
1.82
114
4.92
36
1.68
51
14.84
64
5.82
7
5.26
27
5.54
10
4.20
19
4.37
38
11.54
83
2.68
26
0.04
22
0.87
244
0.00
1
0.18
183
0.36
113
1.98
220
IGEV-Stereopermissivetwo views3.97
15
2.10
122
6.78
37
4.43
28
1.81
112
4.92
36
1.68
51
14.84
64
5.82
7
5.25
26
5.54
10
4.22
21
4.36
37
11.55
84
2.68
26
0.04
22
0.88
246
0.00
1
0.18
183
0.36
113
1.98
220
Gangwei Xu, Xianqi Wang, Xiaohuan Ding, Xin Yang: Iterative Geometry Encoding Volume for Stereo Matching. CVPR 2023
rrrtwo views3.99
17
2.95
210
11.04
180
4.05
12
0.92
46
4.94
39
1.53
39
11.97
27
6.50
18
4.17
11
4.67
4
4.50
26
3.95
27
11.24
68
4.28
79
0.18
122
0.56
205
0.00
1
0.22
189
0.25
60
1.88
203
CEStwo views4.08
18
1.34
21
3.46
1
3.65
6
11.49
347
5.24
48
0.99
18
10.15
12
9.15
54
3.80
9
9.29
29
1.76
2
0.91
1
6.94
13
2.64
25
0.07
66
0.05
47
0.01
55
0.00
1
1.63
269
9.03
356
test_xeample3two views4.08
18
2.95
210
11.20
183
4.05
12
1.05
57
5.62
69
1.58
41
13.23
34
4.76
2
7.10
31
3.83
3
3.18
7
3.30
17
11.75
87
4.42
85
0.08
70
0.74
224
0.00
1
0.38
255
0.26
70
2.04
238
LoS_RVCtwo views4.09
20
3.01
215
4.81
10
4.88
41
7.78
314
5.24
48
2.80
107
7.57
2
4.24
1
4.41
13
10.34
37
3.62
12
6.34
85
6.59
11
2.37
11
0.04
22
0.03
33
0.00
1
0.01
53
0.06
5
7.70
344
CASnettwo views4.11
21
1.27
15
5.28
15
5.63
80
0.31
2
4.89
31
2.86
108
11.52
24
11.73
70
11.06
60
11.80
49
4.16
18
1.63
5
6.30
9
2.22
2
0.63
224
0.00
1
0.60
263
0.13
149
0.15
31
0.07
3
Junhong Min, Youngpil Jeon: Confidence Aware Stereo Matching for Realistic Cluttered Scenario. ICIP 2024 submissions (1861)
ProNettwo views4.14
22
2.35
167
7.50
54
4.22
21
1.47
86
5.67
71
6.24
196
13.78
51
7.71
27
3.38
3
4.93
8
3.72
13
3.52
19
11.52
82
2.72
28
0.08
70
1.32
295
0.01
55
0.26
210
0.47
156
2.02
233
CroCo-Stereo Lap2two views4.21
23
2.60
191
9.11
96
10.21
279
6.06
270
1.11
2
0.78
12
10.63
15
8.34
41
3.46
4
5.18
9
8.92
67
5.66
71
6.42
10
4.53
90
0.03
16
0.05
47
0.00
1
0.00
1
0.81
225
0.39
45
test crocotwo views4.41
24
2.18
143
11.50
186
5.46
71
2.97
160
3.20
7
1.38
28
9.01
6
5.96
15
3.56
5
16.63
83
3.01
4
2.76
14
14.80
192
4.25
78
0.32
163
0.00
1
0.04
95
0.01
53
0.79
220
0.43
51
MC-Stereotwo views4.47
25
1.16
4
5.85
16
6.14
110
1.43
82
3.70
11
1.73
59
10.62
14
7.83
36
6.85
30
13.33
61
6.77
42
6.21
84
11.23
67
2.52
15
0.04
22
1.30
291
0.06
110
0.24
200
0.17
37
2.14
254
MIF-Stereo (partial)two views4.55
26
1.63
46
8.37
79
5.46
71
5.35
241
3.48
9
0.94
15
9.80
9
8.03
39
4.45
14
15.68
75
5.33
35
5.11
56
11.92
97
4.57
91
0.06
55
0.02
21
0.06
110
0.03
80
0.45
149
0.30
24
XX-TBDtwo views4.63
27
10.71
322
3.94
5
10.55
291
0.62
21
5.95
80
0.08
1
7.91
4
12.75
77
11.73
63
14.80
69
4.04
16
1.64
6
4.90
3
2.61
22
0.08
70
0.01
6
0.00
1
0.00
1
0.26
70
0.06
2
MyStereo07two views4.80
28
2.38
172
6.21
20
6.63
142
4.77
220
6.47
100
9.60
253
16.70
94
5.88
14
4.81
16
5.77
16
3.13
6
5.68
72
12.07
102
2.46
13
0.09
77
1.33
299
0.03
84
0.32
227
0.74
211
0.93
111
CREStereo++_RVCtwo views4.83
29
1.16
4
4.67
9
4.71
34
2.02
118
4.01
12
0.11
2
9.48
8
18.00
135
8.87
44
16.74
85
4.43
22
2.15
11
6.09
7
3.39
52
0.07
66
0.00
1
0.00
1
10.51
372
0.05
2
0.12
11
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
TANstereotwo views4.87
30
1.49
36
5.02
13
4.02
10
0.51
16
14.25
199
0.15
3
9.17
7
12.84
78
12.80
80
18.36
100
5.14
31
4.43
40
6.01
5
2.30
4
0.09
77
0.12
108
0.00
1
0.01
53
0.02
1
0.68
81
iRaftStereo_RVCtwo views5.06
31
2.15
136
7.88
64
5.54
73
0.78
33
5.22
47
0.45
7
18.47
121
11.75
71
9.72
50
15.05
71
5.74
38
3.18
16
9.29
39
2.52
15
0.02
7
1.24
288
0.00
1
0.01
53
0.58
177
1.62
185
MSKI-zero shottwo views5.11
32
1.81
66
6.47
29
6.17
112
1.78
110
6.42
99
1.50
36
13.59
44
8.66
48
10.63
55
11.58
47
13.29
132
2.35
13
12.34
118
3.09
41
0.05
38
1.21
283
0.02
70
0.29
219
0.15
31
0.85
99
sCroCo_RVCtwo views5.29
33
3.82
247
17.52
278
11.17
303
6.67
287
5.78
76
2.66
100
10.47
13
8.48
45
3.78
7
9.32
30
4.76
30
4.83
54
8.33
24
4.88
98
1.17
288
0.52
197
0.06
110
0.03
80
0.70
205
0.90
106
CAStwo views5.44
34
0.98
1
3.95
6
17.59
347
7.74
313
7.82
128
6.09
192
9.89
11
9.40
56
4.82
17
10.69
40
1.93
3
1.22
2
4.54
2
2.47
14
10.98
368
0.02
21
0.00
1
0.02
72
0.53
168
8.19
350
4D-IteraStereotwo views5.47
35
2.05
110
8.66
82
5.34
65
4.93
225
6.11
81
1.79
64
13.74
49
16.35
121
14.53
108
11.10
44
8.22
60
1.59
4
8.73
26
3.37
50
0.00
1
0.49
191
0.09
133
0.02
72
0.25
60
1.98
220
PMTNettwo views5.52
36
1.11
3
4.24
7
2.49
1
1.38
80
8.75
134
0.67
10
12.64
30
12.84
78
8.66
41
11.27
46
6.00
39
4.70
53
9.91
49
3.02
40
22.39
382
0.01
6
0.04
95
0.02
72
0.06
5
0.23
19
RCA-Stereotwo views5.58
37
1.26
13
6.71
34
4.85
39
0.80
36
5.51
57
3.97
143
17.56
110
19.40
152
8.45
40
14.11
65
8.73
65
8.70
133
6.88
12
2.77
34
0.05
38
0.98
253
0.11
160
0.00
1
0.14
29
0.61
73
test_1two views5.63
38
1.29
18
9.52
119
4.90
47
1.45
83
6.51
102
2.93
112
13.65
47
19.05
150
12.58
69
8.67
21
13.02
127
4.07
31
9.39
42
2.58
17
0.01
2
1.09
263
0.00
1
0.38
255
0.28
82
1.26
148
test-3two views5.64
39
1.29
18
9.52
119
4.88
41
1.45
83
6.53
103
2.92
110
13.64
45
19.04
149
12.75
79
8.67
21
13.01
126
4.10
32
9.39
42
2.58
17
0.01
2
1.09
263
0.00
1
0.37
244
0.28
82
1.25
147
AE-Stereotwo views5.68
40
1.78
60
9.22
110
9.25
254
2.52
139
10.13
142
2.92
110
13.10
33
14.88
101
4.88
18
13.10
59
10.72
84
4.43
40
9.24
38
3.37
50
0.10
85
1.31
293
0.06
110
0.32
227
0.21
47
2.03
236
cross-rafttwo views5.70
41
1.44
32
7.08
39
6.69
147
2.11
122
5.89
78
1.44
32
16.44
86
8.38
42
13.42
95
20.70
128
12.20
107
4.38
39
9.06
32
3.11
42
0.03
16
0.38
167
0.00
1
0.22
189
0.24
56
0.84
98
tt1two views5.74
42
2.52
183
6.54
32
6.89
163
0.86
40
10.31
149
4.08
145
19.77
136
16.80
126
7.17
33
9.02
24
4.71
29
8.97
138
11.11
61
2.34
8
0.05
38
1.17
269
0.00
1
0.04
90
0.29
86
2.07
243
test_4two views5.75
43
1.40
27
6.47
29
7.20
186
0.89
43
5.81
77
1.82
65
12.26
28
6.62
19
12.85
81
30.51
224
7.61
51
3.81
24
12.70
134
3.47
54
0.02
7
0.27
142
0.03
84
0.17
174
0.39
130
0.67
79
ACVNet-DCAtwo views5.76
44
2.52
183
6.38
23
6.77
154
0.74
23
10.55
151
5.19
166
21.10
152
13.53
87
7.39
35
10.06
31
4.44
23
9.58
145
11.08
57
2.33
5
0.05
38
1.18
273
0.00
1
0.04
90
0.37
119
1.93
210
CFNet-RSSMtwo views5.78
45
1.24
11
9.20
108
4.82
38
1.23
69
6.33
94
1.21
23
17.35
106
18.14
136
13.35
91
11.17
45
11.69
95
5.43
60
9.71
48
3.34
49
0.03
16
0.20
123
0.00
1
0.36
240
0.37
119
0.42
50
cc1two views5.79
46
2.52
183
6.38
23
6.77
154
0.74
23
10.55
151
5.19
166
19.19
128
15.95
113
7.39
35
10.06
31
4.44
23
9.58
145
11.08
57
2.33
5
0.05
38
1.18
273
0.00
1
0.04
90
0.34
102
2.04
238
HUI-Stereotwo views5.80
47
1.98
92
10.42
155
5.66
83
0.45
3
5.52
58
2.68
102
13.29
41
7.82
35
12.71
78
18.16
94
12.91
124
6.60
91
10.73
55
5.36
110
0.89
256
0.08
87
0.10
141
0.00
1
0.25
60
0.36
35
Gwc-CoAtRStwo views5.80
47
1.37
24
9.07
93
4.80
37
1.39
81
6.90
112
1.27
25
16.50
88
15.48
108
13.07
86
13.35
62
12.64
111
5.61
70
9.14
35
4.20
75
0.04
22
0.32
153
0.00
1
0.29
219
0.30
90
0.33
25
ROB_FTStereotwo views5.82
49
1.97
85
10.37
151
5.67
90
0.46
9
5.52
58
1.63
43
13.27
39
7.79
29
12.69
72
18.06
91
12.86
119
6.63
95
12.28
115
5.43
112
0.87
255
0.09
90
0.10
141
0.00
1
0.26
70
0.36
35
EAI-Stereotwo views5.82
49
2.06
113
9.08
94
6.23
116
2.20
129
6.24
92
6.20
195
20.18
142
6.36
17
10.65
56
15.97
78
6.31
40
3.63
22
12.09
105
4.88
98
0.06
55
0.73
223
0.04
95
1.59
323
0.21
47
1.67
188
PSM-adaLosstwo views5.83
51
1.97
85
10.44
159
5.66
83
0.46
9
5.54
65
1.91
71
13.24
35
7.80
33
12.69
72
18.19
98
12.80
115
6.65
103
11.89
95
5.45
114
1.02
270
0.09
90
0.10
141
0.00
1
0.26
70
0.36
35
CRE-IMPtwo views5.83
51
1.86
74
11.10
182
6.20
115
0.51
16
6.86
110
1.64
45
12.56
29
9.01
50
13.16
87
16.11
80
10.94
87
6.14
83
12.81
137
6.46
148
0.50
200
0.07
81
0.10
141
0.00
1
0.27
78
0.27
22
ROB_FTStereo_v2two views5.85
53
1.97
85
10.38
152
5.66
83
0.46
9
5.52
58
1.95
73
13.24
35
7.78
28
12.68
71
18.16
94
12.83
116
6.61
93
12.27
113
5.63
121
1.00
267
0.09
90
0.10
141
0.00
1
0.26
70
0.36
35
RAFT-IKPtwo views5.85
53
1.97
85
10.36
149
5.66
83
0.45
3
5.33
53
2.01
76
13.27
39
7.79
29
12.69
72
18.19
98
12.77
114
6.67
104
12.36
120
5.60
118
1.11
279
0.09
90
0.10
141
0.00
1
0.25
60
0.35
29
iGMRVCtwo views5.86
55
1.97
85
10.41
154
5.66
83
0.45
3
5.53
62
1.75
62
13.35
42
7.81
34
12.69
72
18.17
96
12.86
119
6.53
90
12.34
118
5.77
124
1.13
282
0.09
90
0.10
141
0.00
1
0.26
70
0.34
28
Patchmatch Stereo++two views5.88
56
1.97
85
10.43
157
5.66
83
0.45
3
5.54
65
2.32
85
13.26
37
7.79
29
12.69
72
18.14
92
12.86
119
6.63
95
12.36
120
5.60
118
1.09
276
0.09
90
0.10
141
0.00
1
0.25
60
0.35
29
Wenjia Ren, Qingmin Liao, Zhijing Shao, Xiangru Lin, Xin Yue, Yu Zhang, Zongqing Lu: Patchmatch Stereo++: Patchmatch Binocular Stereo with Continuous Disparity Optimization. ACM MM 2023
iRAFTtwo views5.88
56
1.97
85
10.43
157
5.66
83
0.45
3
5.54
65
2.32
85
13.26
37
7.79
29
12.69
72
18.14
92
12.86
119
6.63
95
12.36
120
5.60
118
1.09
276
0.09
90
0.10
141
0.00
1
0.25
60
0.35
29
IGEV_Zeroshot_testtwo views5.90
58
2.30
154
15.24
254
6.90
164
2.11
122
4.35
13
1.51
37
15.68
73
8.52
46
13.73
100
11.89
51
11.49
91
3.82
25
11.41
73
4.76
96
0.11
89
0.84
239
0.15
182
0.25
208
0.87
233
1.98
220
raftrobusttwo views5.94
59
2.07
117
6.94
38
7.67
204
6.24
276
4.96
41
1.82
65
17.76
111
14.36
97
12.03
64
11.62
48
7.74
53
9.01
139
11.29
71
3.71
61
0.05
38
0.79
232
0.00
1
0.04
90
0.25
60
0.38
43
RAFT-Stereo + iAFFtwo views5.94
59
2.35
167
8.80
85
4.07
15
1.36
78
2.78
5
0.66
9
17.05
100
15.89
112
12.65
70
18.49
101
11.81
99
7.89
117
8.48
25
3.80
63
0.02
7
0.75
226
0.00
1
0.00
1
0.43
142
1.49
176
DeepStereo_RVCtwo views5.95
61
1.88
78
10.44
159
5.76
99
0.60
20
5.45
54
1.78
63
12.93
31
8.02
38
14.07
104
14.98
70
12.40
108
10.05
152
12.02
100
7.35
154
0.61
222
0.10
100
0.12
165
0.00
1
0.21
47
0.29
23
LL-Strereo2two views5.97
62
2.88
205
10.62
163
6.59
136
3.38
171
6.31
93
2.20
82
15.61
72
8.46
44
11.33
61
10.75
42
15.69
164
3.45
18
13.58
167
4.65
93
0.16
113
0.48
188
1.33
309
0.13
149
0.36
113
1.42
168
test_3two views5.97
62
1.26
13
9.95
134
6.84
160
1.45
83
8.73
133
3.18
118
14.26
53
19.86
154
12.22
66
8.91
23
13.78
138
3.99
29
9.38
41
2.58
17
0.01
2
1.10
265
0.00
1
0.37
244
0.30
90
1.20
140
NRIStereotwo views5.98
64
1.91
83
9.60
121
6.29
124
0.45
3
6.56
105
2.52
93
15.37
69
11.43
67
12.55
68
15.07
72
11.45
90
6.11
81
12.32
116
6.23
136
0.83
248
0.16
117
0.11
160
0.00
1
0.32
95
0.33
25
HHtwo views6.00
65
2.42
175
9.81
128
5.74
96
1.64
104
7.05
114
3.48
132
17.54
108
7.69
25
8.73
42
12.47
54
14.83
151
8.86
135
13.04
146
2.59
20
0.04
22
1.21
283
0.20
205
0.05
104
0.30
90
2.34
260
HanStereotwo views6.00
65
2.42
175
9.81
128
5.74
96
1.64
104
7.05
114
3.48
132
17.54
108
7.69
25
8.73
42
12.47
54
14.83
151
8.86
135
13.04
146
2.59
20
0.04
22
1.21
283
0.20
205
0.05
104
0.30
90
2.34
260
test-1two views6.03
67
1.76
58
15.61
259
8.01
224
1.98
117
7.82
128
1.16
21
13.64
45
13.60
90
9.69
49
15.16
73
11.55
93
5.45
62
7.78
19
4.35
82
0.16
113
1.18
273
0.00
1
0.13
149
0.16
35
1.39
163
Selective-RAFTtwo views6.10
68
1.16
4
10.90
176
7.41
193
0.91
45
15.22
214
1.11
19
14.84
64
16.23
117
7.19
34
7.06
17
11.49
91
8.10
121
12.83
139
5.19
105
0.26
150
0.97
252
0.00
1
0.46
264
0.10
11
0.65
76
EKT-Stereotwo views6.11
69
1.71
53
9.09
95
7.69
205
5.56
251
5.16
44
4.26
149
19.18
127
15.13
104
9.20
47
12.84
57
9.55
75
4.18
33
11.74
86
3.24
47
0.53
204
0.62
215
0.09
133
0.14
158
0.17
37
2.16
255
1test111two views6.16
70
2.52
183
6.38
23
6.77
154
0.74
23
10.55
151
5.19
166
21.10
152
13.53
87
7.39
35
10.06
31
4.44
23
9.58
145
12.08
103
9.26
186
0.05
38
1.18
273
0.00
1
0.04
90
0.37
119
1.93
210
RAFT-Testtwo views6.19
71
1.47
33
7.90
65
4.91
48
2.70
145
9.97
138
1.52
38
17.08
101
9.06
53
13.21
88
23.67
158
12.89
123
4.63
50
9.47
44
3.57
57
0.02
7
0.81
234
0.00
1
0.38
255
0.21
47
0.39
45
s12784htwo views6.22
72
1.01
2
4.95
12
3.57
5
0.54
18
19.55
266
0.95
16
19.51
133
18.39
138
12.98
85
12.58
56
7.78
54
5.56
69
11.34
72
4.36
83
0.89
256
0.01
6
0.05
103
0.00
1
0.07
7
0.20
18
Any-RAFTtwo views6.28
73
1.42
30
4.91
11
5.00
51
1.25
74
10.18
143
1.90
70
22.68
169
15.87
111
12.12
65
19.23
107
13.69
137
4.65
51
9.35
40
2.36
10
0.06
55
0.57
208
0.00
1
0.00
1
0.05
2
0.35
29
GMOStereotwo views6.33
74
2.04
105
8.28
75
5.68
91
1.20
65
6.11
81
2.14
78
11.20
18
13.15
81
18.66
191
21.83
137
17.35
186
6.64
99
7.09
14
2.78
35
0.02
7
1.42
311
0.13
170
0.00
1
0.53
168
0.37
39
error versiontwo views6.33
74
2.04
105
8.28
75
5.68
91
1.20
65
6.11
81
2.14
78
11.20
18
13.15
81
18.66
191
21.83
137
17.35
186
6.64
99
7.09
14
2.78
35
0.02
7
1.42
311
0.13
170
0.00
1
0.53
168
0.37
39
test-vtwo views6.33
74
2.04
105
8.28
75
5.68
91
1.20
65
6.11
81
2.14
78
11.20
18
13.15
81
18.66
191
21.83
137
17.35
186
6.64
99
7.09
14
2.78
35
0.02
7
1.42
311
0.13
170
0.00
1
0.53
168
0.37
39
test-2two views6.33
74
2.04
105
8.28
75
5.68
91
1.20
65
6.11
81
2.14
78
11.20
18
13.15
81
18.66
191
21.83
137
17.35
186
6.64
99
7.09
14
2.78
35
0.02
7
1.42
311
0.13
170
0.00
1
0.53
168
0.37
39
GMStereopermissivetwo views6.44
78
4.92
270
12.13
205
5.60
76
0.87
41
9.18
136
2.57
97
12.99
32
25.54
205
12.85
81
11.84
50
5.60
37
3.62
21
11.92
97
6.44
147
0.53
204
0.02
21
0.05
103
0.36
240
0.98
239
0.70
83
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger: Unifying Flow, Stereo and Depth Estimation. TPAMI 2023
TestStereotwo views6.45
79
3.34
231
8.02
67
6.23
116
1.68
106
6.33
94
2.48
91
14.54
62
16.71
125
11.71
62
24.13
162
9.38
72
7.13
106
11.83
91
4.32
81
0.12
97
0.01
6
0.00
1
0.00
1
0.73
209
0.33
25
knoymoustwo views6.46
80
1.84
73
5.13
14
4.31
27
1.88
116
6.36
97
5.55
177
15.25
67
14.48
98
13.85
102
21.25
133
12.66
113
6.63
95
13.20
153
5.11
102
0.19
131
0.13
109
0.12
165
0.00
1
0.71
207
0.57
71
rafts_anoytwo views6.46
80
2.37
169
7.09
40
7.48
199
6.02
268
5.31
52
2.45
90
14.50
61
22.01
168
12.94
84
16.18
81
8.48
64
5.53
67
9.70
47
6.32
142
0.05
38
1.66
325
0.10
141
0.05
104
0.30
90
0.69
82
anonymousdsp2two views6.47
82
1.81
66
9.73
125
5.25
61
1.23
69
9.35
137
3.96
142
22.51
166
18.39
138
12.87
83
10.19
36
10.17
79
4.46
43
11.77
88
3.83
64
0.06
55
1.00
258
0.31
241
0.18
183
0.25
60
2.06
242
XX-Stereotwo views6.50
83
1.81
66
10.42
155
12.71
321
7.14
298
3.46
8
0.90
14
16.31
82
6.13
16
9.03
46
28.11
197
13.48
135
2.22
12
11.87
94
2.61
22
0.45
193
0.78
231
0.08
128
0.42
261
1.09
245
0.88
103
AFF-stereotwo views6.50
83
2.29
153
8.09
70
4.63
33
0.87
41
3.48
9
0.75
11
16.92
99
13.98
93
13.26
89
25.21
170
15.46
161
7.68
114
11.50
80
3.71
61
0.04
22
0.70
221
0.00
1
0.00
1
0.48
158
1.02
122
xx1two views6.52
85
2.52
183
6.38
23
6.77
154
0.74
23
10.55
151
5.19
166
19.19
128
15.95
113
7.39
35
10.07
35
16.17
167
12.10
185
11.08
57
2.33
5
0.05
38
1.18
273
0.02
70
0.36
240
0.37
119
1.93
210
RALCasStereoNettwo views6.53
86
2.84
204
8.12
71
7.88
218
6.12
272
6.85
109
5.29
170
14.66
63
13.94
92
10.20
51
18.18
97
10.24
80
3.83
26
12.33
117
5.56
117
0.04
22
1.88
331
0.11
160
0.01
53
0.26
70
2.24
257
11t1two views6.61
87
1.76
58
9.64
123
5.62
79
2.15
126
13.57
190
2.67
101
15.77
75
8.83
49
13.66
99
11.90
52
12.03
105
9.76
149
12.23
112
8.58
176
0.23
138
1.33
299
0.00
1
0.31
225
0.26
70
1.95
217
TRStereotwo views6.64
88
6.95
297
12.06
204
9.69
265
7.59
306
5.12
43
1.68
51
20.72
145
12.34
73
10.93
59
9.07
25
10.57
83
3.16
15
14.33
179
4.23
77
0.60
220
0.80
233
0.14
177
0.37
244
0.56
176
1.86
202
DisPMtwo views6.68
89
1.58
42
9.90
132
7.19
185
1.12
59
5.71
72
3.69
136
13.74
49
12.42
74
16.60
145
23.63
157
12.64
111
6.39
87
13.31
159
4.08
73
0.77
240
0.01
6
0.08
128
0.15
164
0.14
29
0.53
61
DCREtwo views6.73
90
2.11
126
9.19
107
7.76
211
4.90
223
7.81
127
5.86
187
16.46
87
11.38
66
9.61
48
22.55
150
11.84
101
6.35
86
11.09
60
3.63
58
0.04
22
1.19
278
0.06
110
0.37
244
0.15
31
2.23
256
AnonymousMtwo views6.73
90
12.03
335
3.53
2
4.47
30
1.55
97
4.42
14
3.17
117
11.94
26
8.44
43
17.00
160
10.06
31
9.08
70
4.00
30
7.56
18
4.06
71
0.55
211
0.68
219
23.13
376
8.12
366
0.07
7
0.65
76
iRaft-Stereo_20wtwo views6.75
92
2.17
141
13.20
225
5.07
54
2.34
135
7.43
121
2.61
98
20.20
143
7.85
37
15.28
115
10.36
38
14.42
146
8.13
122
16.81
224
4.20
75
0.06
55
0.84
239
0.13
170
0.83
295
0.66
200
2.42
268
DCANet-4two views6.78
93
1.21
7
11.48
185
3.95
8
0.76
28
4.73
22
1.68
51
18.40
120
25.78
208
15.44
118
20.36
122
6.42
41
8.48
129
8.87
28
6.24
137
0.18
122
0.05
47
0.01
55
0.00
1
0.10
11
1.37
157
SST-Stereotwo views6.85
94
1.67
51
9.39
115
7.24
188
0.82
37
5.89
78
1.87
69
15.34
68
9.89
60
19.25
207
20.26
121
16.63
174
8.40
128
13.81
172
5.75
123
0.40
177
0.05
47
0.13
170
0.00
1
0.10
11
0.08
4
Pruner-Stereotwo views6.85
94
1.81
66
10.24
145
6.92
166
0.92
46
5.55
68
4.01
144
14.42
59
11.85
72
18.22
187
21.92
143
15.64
163
5.69
73
12.10
106
6.08
129
0.84
250
0.02
21
0.18
194
0.10
140
0.11
18
0.38
43
RALAANettwo views6.86
96
3.28
228
11.09
181
7.63
202
4.95
227
6.16
90
1.63
43
20.54
144
15.45
106
15.30
116
14.52
67
12.98
125
4.35
36
13.53
163
3.98
67
0.11
89
0.35
161
0.00
1
0.29
219
0.58
177
0.48
59
DCANettwo views6.87
97
2.02
101
9.12
98
4.03
11
0.76
28
4.77
27
1.74
61
16.15
80
25.07
197
15.88
133
20.79
130
7.89
56
11.31
169
9.23
37
6.15
131
0.18
122
0.05
47
0.00
1
0.00
1
0.28
82
2.01
232
PSM-softLosstwo views6.90
98
1.81
66
10.84
171
7.04
171
0.93
50
5.53
62
1.97
74
23.18
175
9.65
57
14.16
105
22.01
147
12.84
117
5.15
57
13.03
144
7.95
162
0.76
237
0.06
71
0.27
226
0.55
281
0.21
47
0.14
12
KMStereotwo views6.90
98
1.81
66
10.84
171
7.04
171
0.93
50
5.53
62
1.97
74
23.18
175
9.65
57
14.16
105
22.01
147
12.84
117
5.15
57
13.03
144
7.95
162
0.76
237
0.06
71
0.27
226
0.55
281
0.21
47
0.14
12
PFNet+two views6.92
100
1.64
48
10.96
177
6.27
118
0.90
44
5.66
70
1.68
51
14.43
60
16.02
115
18.13
185
21.24
132
14.33
143
5.97
76
13.13
152
5.51
116
0.90
258
0.20
123
0.11
160
0.30
224
0.08
9
0.94
115
RAFT-345two views6.94
101
1.48
34
7.45
52
5.65
82
0.96
54
5.49
56
3.20
119
13.73
48
10.97
63
13.81
101
42.93
334
9.01
69
5.31
59
13.09
151
4.73
95
0.58
215
0.05
47
0.10
141
0.06
114
0.08
9
0.08
4
MyStereo06two views6.95
102
2.25
149
14.05
236
6.69
147
4.74
218
7.75
125
9.60
253
17.85
113
9.03
52
13.29
90
10.78
43
18.68
205
5.70
74
10.66
52
4.52
89
0.09
77
1.32
295
0.02
70
0.26
210
0.84
231
0.92
107
NF-Stereotwo views6.96
103
1.80
63
10.17
139
7.16
184
0.79
35
6.15
89
3.26
126
20.74
149
18.45
142
13.42
95
19.33
108
11.67
94
6.05
77
12.71
135
6.17
132
0.57
214
0.06
71
0.21
208
0.23
196
0.12
21
0.09
6
OCTAStereotwo views6.97
104
1.80
63
10.20
142
7.15
183
0.78
33
6.12
86
3.38
128
20.72
145
18.47
143
13.41
92
19.33
108
11.91
102
6.05
77
12.68
133
6.19
133
0.59
218
0.06
71
0.21
208
0.22
189
0.12
21
0.10
8
RE-Stereotwo views6.97
104
1.79
61
10.18
140
7.14
178
0.77
30
6.14
87
3.39
129
20.72
145
18.43
140
13.41
92
19.33
108
11.78
97
6.09
79
12.66
131
6.22
134
0.58
215
0.05
47
0.21
208
0.22
189
0.12
21
0.10
8
TVStereotwo views6.97
104
1.79
61
10.18
140
7.14
178
0.77
30
6.14
87
3.39
129
20.72
145
18.43
140
13.41
92
19.33
108
11.78
97
6.09
79
12.66
131
6.22
134
0.58
215
0.05
47
0.21
208
0.22
189
0.12
21
0.10
8
sAnonymous2two views6.98
107
7.12
298
20.67
300
9.13
252
5.40
243
5.28
50
8.11
237
16.71
95
11.50
68
5.04
20
9.17
27
3.77
14
8.23
123
7.84
20
3.15
43
0.11
89
0.07
81
0.06
110
0.28
216
10.80
357
7.09
340
CroCo_RVCtwo views6.98
107
7.12
298
20.67
300
9.13
252
5.40
243
5.28
50
8.11
237
16.71
95
11.50
68
5.04
20
9.17
27
3.77
14
8.23
123
7.84
20
3.15
43
0.11
89
0.07
81
0.06
110
0.28
216
10.80
357
7.09
340
DIP-Stereotwo views6.99
109
2.37
169
11.45
184
4.78
36
1.70
108
13.13
182
1.47
33
15.76
74
7.43
22
14.57
109
26.61
185
10.76
85
5.10
55
14.97
195
8.10
166
0.06
55
0.06
71
0.06
110
0.00
1
0.17
37
1.22
142
Zihua Zheng, Ni Nie, Zhi Ling, Pengfei Xiong, Jiangyu Liu, Hao Wang, Jiankun Li: DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow. cvpr2022
ADStereo(finetuned)two views7.09
110
2.04
105
11.52
187
4.01
9
0.77
30
4.78
28
1.73
59
16.15
80
25.08
198
15.89
134
20.74
129
7.88
55
13.56
205
9.11
34
6.07
128
0.18
122
0.05
47
0.00
1
0.00
1
0.28
82
1.93
210
raft+_RVCtwo views7.10
111
2.37
169
6.59
33
6.94
169
5.82
261
6.35
96
5.97
190
21.05
151
23.63
185
10.90
58
17.95
90
9.80
76
5.55
68
11.49
79
4.47
88
0.04
22
1.50
320
0.00
1
0.00
1
0.38
129
1.23
144
OMP-Stereotwo views7.13
112
2.89
206
9.89
131
10.98
300
1.73
109
4.81
29
1.85
67
18.38
119
16.26
118
16.94
158
14.11
65
17.45
190
7.57
111
13.26
157
5.12
104
0.43
187
0.04
40
0.06
110
0.02
72
0.20
46
0.56
66
RAFT_R40two views7.14
113
1.73
55
9.36
114
7.36
192
0.82
37
5.74
73
3.69
136
15.47
71
15.09
103
18.24
188
19.87
116
16.82
175
8.50
130
13.72
171
5.81
125
0.28
155
0.02
21
0.14
177
0.00
1
0.11
18
0.09
6
Anonymoustwo views7.23
114
3.43
234
20.00
296
12.23
317
8.33
325
14.99
210
12.18
290
15.77
75
10.89
62
4.48
15
7.52
18
3.11
5
7.53
110
12.16
107
6.03
126
1.24
292
0.36
164
0.09
133
0.20
187
2.81
295
1.32
156
ffftwo views7.26
115
1.99
93
9.12
98
4.17
16
0.47
12
4.73
22
1.68
51
16.56
90
33.55
265
15.45
119
20.36
122
7.49
48
12.54
190
9.03
29
6.26
138
0.18
122
0.05
47
0.01
55
0.00
1
0.10
11
1.37
157
MIPNettwo views7.26
115
2.30
154
13.74
230
5.32
64
1.61
101
11.32
161
2.77
106
27.02
215
18.47
143
15.56
125
13.20
60
7.01
43
9.46
144
8.84
27
6.32
142
0.15
112
0.03
33
0.06
110
0.08
127
0.42
140
1.39
163
csctwo views7.26
115
1.99
93
9.12
98
4.17
16
0.47
12
4.73
22
1.68
51
16.56
90
33.55
265
15.45
119
20.36
122
7.49
48
12.54
190
9.03
29
6.26
138
0.18
122
0.05
47
0.01
55
0.00
1
0.10
11
1.37
157
cscssctwo views7.26
115
1.99
93
9.12
98
4.17
16
0.47
12
4.73
22
1.68
51
16.56
90
33.55
265
15.45
119
20.36
122
7.49
48
12.54
190
9.03
29
6.26
138
0.18
122
0.05
47
0.01
55
0.00
1
0.10
11
1.37
157
riskmintwo views7.28
119
1.54
38
8.37
79
5.01
52
3.24
167
11.65
165
3.20
119
16.61
93
18.86
148
10.45
53
13.46
63
16.20
169
12.68
195
12.46
125
6.57
150
0.17
119
1.38
307
0.14
177
0.33
233
0.67
202
2.52
272
R-Stereo Traintwo views7.33
120
1.62
44
9.31
112
6.80
158
2.33
133
7.57
122
5.36
172
24.47
187
7.63
23
16.40
139
33.07
263
12.42
109
5.52
65
8.06
22
5.23
106
0.05
38
0.05
47
0.01
55
0.00
1
0.12
21
0.56
66
RAFT-Stereopermissivetwo views7.33
120
1.62
44
9.31
112
6.80
158
2.33
133
7.57
122
5.36
172
24.47
187
7.63
23
16.40
139
33.07
263
12.42
109
5.52
65
8.06
22
5.23
106
0.05
38
0.05
47
0.01
55
0.00
1
0.12
21
0.56
66
Lahav Lipson, Zachary Teed, and Jia Deng: RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. 3DV
MIM_Stereotwo views7.37
122
2.06
113
12.02
203
4.71
34
1.69
107
5.17
45
1.28
26
19.54
134
13.09
80
16.93
156
28.48
200
13.05
128
5.43
60
13.25
156
7.41
155
0.02
7
0.62
215
0.00
1
0.01
53
0.45
149
2.09
249
StereoVisiontwo views7.48
123
2.90
207
10.47
161
10.13
275
3.93
189
4.99
42
1.86
68
21.10
152
17.66
132
8.90
45
29.71
215
10.95
88
6.61
93
12.83
139
5.11
102
0.69
232
0.05
47
0.17
191
0.03
80
0.98
239
0.56
66
IPLGRtwo views7.48
123
1.61
43
14.03
235
4.92
49
1.30
76
10.30
147
1.20
22
24.52
190
22.59
175
16.71
153
18.84
103
8.44
63
7.49
109
9.62
46
6.34
144
0.26
150
0.05
47
0.05
103
0.06
114
0.37
119
0.93
111
HHNettwo views7.57
125
2.01
99
8.03
68
3.71
7
3.46
174
4.93
38
6.17
194
19.69
135
16.27
119
20.91
231
31.75
244
10.56
82
5.82
75
10.69
54
5.10
101
0.67
231
0.07
81
0.21
208
0.14
158
0.63
189
0.54
63
IIG-Stereotwo views7.59
126
2.47
178
9.40
116
10.39
286
1.78
110
6.67
106
1.47
33
17.83
112
16.51
124
18.91
201
20.12
119
17.76
194
8.74
134
13.21
155
5.43
112
0.44
190
0.05
47
0.03
84
0.00
1
0.17
37
0.45
54
ASMatchtwo views7.61
127
1.63
46
9.18
106
5.79
100
2.27
131
4.63
16
2.54
94
17.23
104
13.73
91
17.27
163
34.28
279
13.26
131
10.15
155
12.39
123
5.49
115
0.12
97
0.24
137
0.21
208
0.17
174
0.18
41
1.55
181
ACREtwo views7.62
128
3.21
223
14.93
251
7.81
213
5.00
230
10.01
140
4.45
153
16.32
83
15.86
110
17.81
175
19.21
106
8.38
62
4.25
34
11.11
61
10.58
203
0.78
243
0.32
153
0.03
84
0.15
164
0.44
145
1.84
200
LCNettwo views7.64
129
1.41
28
6.15
19
6.93
167
1.35
77
9.00
135
5.44
174
18.37
118
11.30
64
16.62
146
24.39
164
14.67
147
11.03
161
12.03
101
4.01
68
0.07
66
0.02
21
0.23
217
2.07
332
1.00
242
6.69
336
IPLGtwo views7.65
130
2.00
97
13.81
231
5.86
104
4.35
206
10.97
157
1.43
30
22.52
167
16.50
123
19.78
211
20.62
127
5.28
34
5.49
63
12.58
130
9.70
193
0.13
103
0.06
71
0.03
84
0.07
121
0.41
137
1.38
161
MyStereo8two views7.68
131
3.00
213
12.46
211
7.70
208
5.11
235
11.40
162
1.39
29
15.98
78
10.05
61
16.45
141
24.04
161
12.01
104
7.91
118
10.68
53
10.57
202
0.14
105
1.52
322
0.08
128
0.48
270
0.60
185
1.98
220
CIPLGtwo views7.69
132
3.27
226
14.40
240
7.84
215
5.08
234
10.24
144
4.59
156
16.02
79
15.45
106
18.05
183
19.72
114
8.79
66
4.61
45
11.84
93
10.40
200
0.76
237
0.33
159
0.03
84
0.15
164
0.44
145
1.83
199
xtwo views7.70
133
2.12
128
8.93
91
5.08
55
2.55
142
11.65
165
4.40
152
20.91
150
12.53
75
13.58
98
20.49
126
15.73
165
11.10
163
10.65
51
10.16
195
0.11
89
1.37
305
0.04
95
0.29
219
0.34
102
1.95
217
IPLGR_Ctwo views7.70
133
3.32
229
14.54
242
7.98
222
5.04
232
10.26
145
4.64
159
16.50
88
16.28
120
17.97
182
18.85
104
8.30
61
4.66
52
11.22
66
10.89
210
0.77
240
0.32
153
0.03
84
0.15
164
0.43
142
1.84
200
qqqtwo views7.72
135
2.15
136
10.06
137
5.01
52
1.82
114
8.62
132
7.27
222
21.10
152
13.53
87
12.48
67
18.71
102
16.17
167
12.10
185
12.08
103
9.26
186
0.08
70
1.35
303
0.02
70
0.36
240
0.36
113
1.93
210
111two views7.73
136
2.39
174
9.12
98
4.17
16
0.47
12
10.65
155
3.49
135
21.34
158
28.25
228
10.60
54
16.85
86
14.74
150
10.22
156
12.48
126
6.61
151
0.43
187
0.01
6
0.00
1
0.00
1
0.35
106
2.39
267
RAFT+CT+SAtwo views7.76
137
2.01
99
7.56
55
11.32
305
3.31
168
4.60
15
7.19
219
17.21
103
27.40
221
10.43
52
27.34
189
7.63
52
7.83
116
15.46
202
3.51
55
0.03
16
0.39
169
0.18
194
0.46
264
0.33
97
0.93
111
RAFT-RH_RVCtwo views7.88
138
1.51
37
7.72
57
5.41
69
0.96
54
11.41
163
1.48
35
13.43
43
15.04
102
17.54
171
45.66
346
10.86
86
6.42
88
13.48
161
5.26
108
0.81
246
0.04
40
0.12
165
0.13
149
0.12
21
0.17
16
TransformOpticalFlowtwo views7.95
139
2.10
122
9.83
130
6.06
108
1.24
72
6.82
108
7.98
234
18.60
122
14.06
95
14.93
111
28.79
202
18.74
206
11.03
161
12.79
136
4.12
74
0.06
55
0.04
40
0.21
208
0.04
90
0.21
47
1.27
149
TestStereo1two views8.04
140
2.22
147
8.85
88
10.87
298
2.12
124
4.66
18
2.40
88
21.17
156
23.79
186
17.41
164
26.31
181
9.41
73
9.09
140
16.23
208
3.85
65
0.14
105
0.40
171
0.02
70
0.13
149
0.58
177
1.10
131
SA-5Ktwo views8.04
140
2.22
147
8.85
88
10.87
298
2.12
124
4.66
18
2.40
88
21.17
156
23.79
186
17.41
164
26.31
181
9.41
73
9.09
140
16.23
208
3.85
65
0.14
105
0.40
171
0.02
70
0.13
149
0.58
177
1.10
131
PFNettwo views8.10
142
1.75
56
12.34
209
7.54
201
2.40
136
7.41
120
5.81
185
23.83
184
17.85
134
20.78
225
17.57
88
15.22
159
7.72
115
13.37
160
6.46
148
0.33
164
0.20
123
0.12
165
0.19
186
0.32
95
0.77
93
AAGNettwo views8.15
143
1.75
56
10.57
162
7.72
210
0.74
23
5.74
73
4.98
164
15.90
77
14.59
99
20.31
218
23.80
159
15.08
157
11.25
167
12.27
113
16.70
253
0.85
251
0.06
71
0.32
243
0.01
53
0.15
31
0.16
14
STrans-v2two views8.16
144
2.09
120
9.79
127
5.44
70
1.53
96
11.87
168
9.69
259
19.77
136
13.20
85
14.01
103
25.80
174
17.88
198
12.55
193
13.30
158
4.39
84
0.06
55
0.01
6
0.18
194
0.01
53
0.25
60
1.31
154
Prome-Stereotwo views8.22
145
1.48
34
6.24
21
7.06
174
1.55
97
6.54
104
9.08
245
21.88
161
9.88
59
21.12
235
32.48
258
11.82
100
11.59
173
11.99
99
4.04
70
0.08
70
0.02
21
0.19
200
0.12
146
0.45
149
6.89
339
FENettwo views8.22
145
1.39
25
7.33
50
6.43
128
2.17
128
10.97
157
2.20
82
22.10
164
21.26
160
17.85
178
23.22
155
14.29
141
11.50
171
13.56
166
8.32
170
0.29
157
0.24
137
0.03
84
0.03
80
0.18
41
1.04
124
raft_robusttwo views8.39
147
2.81
201
7.62
56
6.32
126
1.17
63
5.47
55
0.82
13
34.37
293
35.49
288
18.40
190
20.25
120
7.24
46
5.51
64
15.77
204
3.40
53
0.11
89
1.10
265
0.00
1
0.50
274
0.33
97
1.19
139
HITNettwo views8.41
148
3.59
243
9.91
133
5.30
62
1.52
95
13.35
187
4.48
154
22.00
162
16.06
116
15.52
123
22.95
154
15.28
160
11.74
176
14.91
194
9.25
185
0.10
85
0.01
6
0.48
255
0.06
114
0.58
177
1.04
124
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
SAtwo views8.43
149
2.16
140
10.02
136
8.41
234
0.93
50
7.36
119
2.21
84
23.73
182
26.15
210
13.55
97
30.84
230
9.89
77
10.09
153
16.84
226
3.52
56
0.18
122
0.68
219
0.17
191
0.40
260
0.48
158
0.92
107
GMM-Stereotwo views8.44
150
1.27
15
7.36
51
6.64
145
2.56
143
10.00
139
9.29
251
23.79
183
11.33
65
17.96
181
29.59
213
17.14
179
7.59
112
11.77
88
4.61
92
0.13
103
0.01
6
0.24
221
0.94
299
0.49
166
6.14
328
mmmtwo views8.54
151
2.13
134
10.21
143
5.81
102
2.96
159
14.00
195
6.67
205
19.28
130
12.59
76
16.95
159
24.40
165
17.83
197
10.70
159
12.90
141
9.42
189
0.17
119
1.28
290
0.50
257
0.60
285
0.44
145
2.03
236
RAFT_CTSACEtwo views8.55
152
2.62
196
9.63
122
7.41
193
5.06
233
5.76
75
2.54
94
15.38
70
17.84
133
24.33
271
34.69
284
16.37
170
7.22
107
18.05
244
2.63
24
0.01
2
0.56
205
0.00
1
0.03
80
0.42
140
0.41
48
ddtwo views8.57
153
5.20
275
13.37
226
6.91
165
1.05
57
10.30
147
3.89
140
17.29
105
34.00
272
15.73
128
17.50
87
7.45
47
6.60
91
15.00
196
10.99
211
1.39
297
0.41
177
0.18
194
0.46
264
2.25
286
1.40
165
CASStwo views8.64
154
2.03
103
8.60
81
8.71
244
1.59
100
15.02
212
2.75
105
23.27
178
18.58
146
16.29
135
22.78
152
13.42
133
13.68
209
13.07
150
7.66
156
1.18
289
0.05
47
0.13
170
0.01
53
0.75
215
3.24
296
Junhong Min, Youngpil Jeon: Confidence-Aware Symmetric Stereo Matching via U-Net Transformer.
DN-CSS_ROBtwo views8.72
155
3.49
236
16.63
268
6.74
151
3.39
172
6.20
91
3.43
131
23.40
179
22.03
169
17.46
168
30.28
220
9.33
71
8.32
126
14.71
185
6.36
145
0.91
260
0.00
1
0.45
253
0.00
1
0.65
195
0.70
83
GANet-ADLtwo views8.73
156
2.80
200
9.48
117
7.87
217
2.77
147
12.88
179
5.29
170
29.97
242
25.61
206
14.50
107
16.64
84
17.02
178
7.60
113
11.61
85
8.01
164
0.51
203
0.40
171
0.10
141
0.12
146
0.77
218
0.70
83
PSM-AADtwo views8.76
157
1.41
28
6.46
28
6.87
162
1.18
64
12.78
177
9.66
258
20.03
141
15.78
109
21.79
245
24.91
166
14.31
142
13.16
199
12.42
124
4.07
72
0.05
38
0.06
71
2.44
329
0.16
170
0.45
149
7.17
342
FTStereotwo views8.76
157
1.57
40
6.75
35
6.55
133
2.45
137
7.65
124
11.62
286
18.36
117
9.01
50
20.25
213
40.79
321
15.87
166
12.36
189
11.02
56
4.69
94
0.24
143
0.01
6
0.09
133
0.16
170
0.19
44
5.58
322
GwcNet-ADLtwo views8.81
159
2.00
97
10.21
143
7.70
208
2.82
149
6.99
113
7.05
216
30.58
247
26.21
212
15.71
127
17.65
89
13.93
139
6.83
105
13.90
173
11.43
213
0.49
198
0.76
230
0.01
55
0.01
53
0.55
175
1.46
171
test_5two views8.85
160
2.05
110
9.51
118
11.62
307
4.99
229
6.74
107
5.48
176
18.25
116
23.57
183
16.72
154
29.73
216
15.54
162
10.54
158
16.25
211
4.02
69
0.05
38
0.40
171
0.27
226
0.08
127
0.34
102
0.81
95
ARAFTtwo views8.86
161
3.86
248
17.37
277
5.96
105
0.94
53
12.59
175
10.80
272
18.20
115
19.95
155
18.77
196
16.27
82
17.78
195
8.88
137
18.82
251
5.30
109
0.35
167
0.04
40
0.00
1
0.00
1
0.62
188
0.64
74
ffmtwo views8.89
162
2.34
161
12.99
219
6.28
119
3.81
182
12.43
170
7.47
224
19.77
136
16.80
126
16.64
148
32.03
248
17.29
181
11.78
177
11.11
61
2.34
8
0.05
38
1.17
269
0.80
278
0.37
244
0.29
86
2.07
243
Sa-1000two views8.91
163
2.10
122
9.11
96
8.07
226
1.16
62
16.62
241
2.39
87
25.58
196
25.43
203
15.52
123
28.24
198
12.19
106
8.67
131
16.40
214
3.70
59
0.39
175
0.86
243
0.16
188
0.23
196
0.48
158
0.89
105
IRAFT_RVCtwo views8.93
164
1.80
63
10.65
164
7.83
214
1.81
112
6.36
97
10.05
263
26.32
206
27.59
223
17.93
180
19.70
113
17.67
193
9.98
151
13.20
153
6.29
141
0.37
173
0.30
150
0.19
200
0.05
104
0.23
54
0.24
20
DMCAtwo views8.96
165
2.60
191
11.84
197
5.61
77
4.25
201
11.09
159
4.36
151
25.89
198
20.23
157
17.10
162
20.96
131
17.55
191
11.92
184
11.47
74
12.27
222
0.60
220
0.09
90
0.35
245
0.05
104
0.48
158
0.57
71
GEStwo views9.01
166
2.61
195
12.88
215
6.76
152
2.02
118
13.08
181
6.33
200
22.23
165
22.21
171
19.80
212
26.73
186
8.97
68
11.01
160
14.41
181
8.35
173
0.54
209
0.10
100
0.30
240
0.15
164
0.82
228
0.99
117
GrayStereotwo views9.02
167
1.35
22
7.73
58
8.62
240
2.88
153
10.28
146
10.99
276
18.66
124
16.36
122
22.78
258
30.63
226
17.56
192
12.19
187
11.50
80
5.08
100
0.09
77
0.02
21
0.19
200
0.78
294
0.33
97
2.37
263
DEmStereotwo views9.07
168
1.70
52
10.89
174
4.86
40
1.23
69
11.51
164
5.70
180
14.24
52
27.02
218
22.33
253
32.56
259
11.70
96
15.04
226
11.83
91
8.53
174
0.31
160
0.16
117
0.02
70
0.09
133
0.11
18
1.47
172
RAFTtwo views9.07
168
2.76
199
10.38
152
8.89
249
1.24
72
13.48
188
8.19
239
17.14
102
17.29
131
23.01
260
19.34
112
20.06
217
11.13
164
17.79
242
6.43
146
0.09
77
1.12
267
0.28
232
0.02
72
0.79
220
1.94
216
iRaft-Stereo_5wtwo views9.10
170
2.33
159
10.69
166
6.64
145
4.47
212
4.74
26
10.72
271
16.71
95
16.97
130
15.39
117
26.15
178
21.25
224
12.59
194
16.38
213
12.90
231
0.85
251
0.51
194
0.08
128
0.22
189
0.95
238
1.53
179
HCRNettwo views9.13
171
1.82
72
8.73
84
14.95
335
5.22
238
10.66
156
2.49
92
26.57
210
18.64
147
16.31
136
25.51
172
18.42
204
11.15
165
13.53
163
7.25
153
0.10
85
0.04
40
0.10
141
0.02
72
0.27
78
0.76
91
SFCPSMtwo views9.16
172
1.72
54
12.32
208
5.64
81
3.51
176
16.58
240
6.93
213
31.11
254
26.15
210
17.05
161
20.08
118
11.05
89
9.94
150
12.55
127
6.05
127
0.36
169
0.17
119
0.37
247
0.22
189
0.40
134
1.01
120
whm_ethtwo views9.17
173
5.14
274
19.04
292
7.90
220
6.70
289
6.89
111
3.35
127
18.64
123
21.30
161
22.39
254
38.88
311
4.64
28
4.25
34
14.43
182
5.63
121
0.65
226
0.08
87
0.22
215
0.10
140
0.74
211
2.37
263
KYRafttwo views9.17
173
1.39
25
7.74
59
7.07
175
1.03
56
8.05
131
7.90
233
23.72
181
9.22
55
21.43
240
31.08
233
22.52
235
8.03
119
12.21
110
3.16
45
0.10
85
0.02
21
0.05
103
0.67
288
0.46
154
17.51
377
CrosDoStereotwo views9.41
175
1.65
49
8.83
86
5.19
58
1.13
60
7.34
117
14.47
308
16.33
84
24.64
194
24.44
272
33.36
268
13.18
129
13.52
202
12.56
128
9.08
182
0.06
55
0.11
104
0.09
133
0.04
90
0.41
137
1.73
192
DeepStereo_LLtwo views9.41
175
1.65
49
8.83
86
5.19
58
1.13
60
7.34
117
14.47
308
16.33
84
24.64
194
24.44
272
33.36
268
13.18
129
13.52
202
12.56
128
9.08
182
0.06
55
0.11
104
0.09
133
0.04
90
0.41
137
1.73
192
DRafttwo views9.41
175
1.56
39
10.09
138
4.18
20
0.92
46
12.87
178
5.68
179
17.40
107
29.75
236
21.24
237
38.12
305
9.96
78
13.97
214
11.81
90
8.08
165
0.66
230
0.30
150
0.07
125
0.26
210
0.33
97
0.88
103
THIR-Stereotwo views9.52
178
2.21
144
9.26
111
5.38
67
0.85
39
15.55
217
11.50
285
16.88
98
21.74
166
24.45
274
31.96
247
14.20
140
13.85
212
11.89
95
8.54
175
0.14
105
0.25
141
0.10
141
0.05
104
0.40
134
1.11
135
MyStereo04two views9.58
179
2.38
172
10.28
148
6.63
142
4.77
220
6.47
100
9.60
253
32.50
270
42.15
320
14.59
110
12.10
53
11.92
103
11.87
183
14.80
192
8.14
168
0.09
77
1.33
299
0.03
84
0.32
227
0.74
211
0.93
111
CoDeXtwo views9.58
179
2.12
128
10.82
170
6.52
132
3.76
181
16.55
239
6.82
210
26.62
211
25.63
207
17.50
169
25.62
173
14.70
149
11.81
182
12.82
138
7.88
161
0.42
186
0.20
123
0.15
182
0.02
72
0.36
113
1.28
150
anonymousatwo views9.61
181
2.06
113
9.20
108
5.24
60
6.67
287
15.03
213
4.18
148
19.08
126
21.43
164
19.03
202
30.96
232
21.49
227
14.23
216
11.12
65
8.61
177
0.08
70
1.24
288
0.29
236
0.69
289
0.18
41
1.48
175
MyStereo05two views9.63
182
2.25
149
10.26
146
6.69
147
4.74
218
7.75
125
9.60
253
31.51
262
41.00
316
17.45
167
13.02
58
10.28
81
12.27
188
14.74
189
7.68
158
0.09
77
1.32
295
0.02
70
0.26
210
0.84
231
0.92
107
BUStwo views9.86
183
1.86
74
9.14
103
7.14
178
4.12
196
19.47
264
2.69
103
34.15
289
23.28
179
18.82
198
21.95
144
14.37
144
11.63
174
14.72
186
12.39
223
0.36
169
0.13
109
0.15
182
0.04
90
0.37
119
0.46
55
CFNet_pseudotwo views9.92
184
2.21
144
11.76
192
5.09
56
2.93
158
14.43
200
3.12
115
27.16
216
32.52
259
17.58
173
22.81
153
21.97
230
9.29
143
13.06
148
8.34
171
0.23
138
0.46
185
1.23
305
0.27
214
2.89
297
0.99
117
ccs_robtwo views9.95
185
2.21
144
11.74
191
5.11
57
2.91
154
14.48
201
3.21
121
27.26
217
32.72
261
17.53
170
22.70
151
21.96
229
9.25
142
12.99
142
8.34
171
0.23
138
0.45
183
1.38
310
0.28
216
3.13
305
1.07
129
MSMDNettwo views9.96
186
2.08
118
11.66
190
5.39
68
2.92
155
16.50
238
2.89
109
29.73
240
34.55
279
17.86
179
21.91
142
18.86
208
8.36
127
13.06
148
7.74
160
0.24
143
0.47
187
0.66
268
0.24
200
3.07
301
1.04
124
MLCVtwo views9.96
186
3.33
230
14.77
243
5.75
98
1.62
102
14.91
204
1.31
27
22.06
163
24.83
196
22.51
255
31.57
242
17.20
180
8.07
120
17.07
230
12.11
217
0.48
195
0.01
6
0.05
103
0.05
104
0.48
158
1.10
131
PCWNet_CMDtwo views9.97
188
2.08
118
11.61
189
5.36
66
2.92
155
16.39
235
2.94
113
29.76
241
34.38
276
17.83
176
21.86
141
18.91
209
8.27
125
13.01
143
7.73
159
0.23
138
0.46
185
0.79
276
0.25
208
3.46
310
1.12
136
DualNettwo views9.99
189
2.34
161
12.99
219
6.28
119
3.81
182
12.43
170
7.47
224
19.77
136
16.80
126
16.64
148
32.03
248
17.29
181
11.78
177
11.11
61
24.30
299
0.05
38
1.17
269
0.80
278
0.37
244
0.29
86
2.07
243
UCFNet_RVCtwo views10.01
190
2.81
201
6.11
18
7.31
190
3.92
188
16.80
243
8.00
235
28.68
229
20.81
159
16.57
143
23.35
156
25.82
260
13.06
198
13.55
165
9.18
184
0.12
97
0.06
71
1.19
301
0.32
227
1.47
264
1.06
127
Anonymous3two views10.07
191
4.14
254
31.49
330
9.77
268
5.11
235
25.00
301
11.85
287
25.20
193
19.24
151
10.80
57
14.78
68
7.92
57
8.68
132
14.40
180
6.12
130
3.25
333
1.40
308
0.08
128
0.06
114
0.81
225
1.30
153
BEATNet_4xtwo views10.11
192
5.82
283
14.80
245
6.14
110
1.55
97
13.87
193
5.98
191
26.24
203
18.35
137
16.53
142
25.41
171
18.01
199
13.78
211
18.01
243
12.39
223
0.48
195
0.18
120
0.81
283
0.11
144
2.02
278
1.70
190
GANet-RSSMtwo views10.17
193
2.02
101
8.21
73
7.09
177
5.57
252
13.17
184
7.29
223
27.27
218
19.65
153
15.81
129
28.83
203
26.18
262
16.33
245
14.58
183
9.28
188
0.25
147
0.27
142
0.16
188
0.04
90
0.65
195
0.72
86
gwcnet-sptwo views10.26
194
3.56
239
15.31
255
6.59
136
4.30
202
15.71
220
5.71
182
26.09
200
25.15
200
21.68
242
21.77
134
15.01
154
16.42
248
15.21
197
10.76
206
0.12
97
0.20
123
0.02
70
0.09
133
0.63
189
0.86
100
scenettwo views10.26
194
3.56
239
15.31
255
6.59
136
4.30
202
15.71
220
5.71
182
26.09
200
25.15
200
21.68
242
21.77
134
15.01
154
16.42
248
15.21
197
10.76
206
0.12
97
0.20
123
0.02
70
0.09
133
0.63
189
0.86
100
ssnettwo views10.26
194
3.56
239
15.31
255
6.59
136
4.30
202
15.71
220
5.71
182
26.09
200
25.15
200
21.68
242
21.77
134
15.01
154
16.42
248
15.21
197
10.76
206
0.12
97
0.20
123
0.02
70
0.09
133
0.63
189
0.86
100
PSMNet-ADLtwo views10.30
197
2.32
157
7.83
62
9.69
265
4.44
209
16.04
227
4.16
146
27.57
221
25.08
198
15.16
113
19.04
105
25.28
257
13.63
208
16.49
217
15.33
241
0.86
253
0.81
234
0.01
55
0.04
90
0.33
97
1.81
196
ff1two views10.31
198
2.34
161
12.99
219
6.28
119
3.81
182
12.43
170
7.47
224
19.77
136
16.80
126
16.64
148
32.03
248
17.29
181
11.78
177
17.54
236
24.30
299
0.05
38
1.17
269
0.80
278
0.37
244
0.29
86
2.07
243
PSMNet-RSSMtwo views10.31
198
2.47
178
7.79
60
7.85
216
4.38
208
10.47
150
6.67
205
29.67
238
22.25
172
16.62
146
33.75
274
23.30
241
14.58
221
13.91
174
10.56
201
0.23
138
0.09
90
0.07
125
0.24
200
0.87
233
0.48
59
IERtwo views10.32
200
2.06
113
11.88
199
4.95
50
5.34
240
13.34
186
6.11
193
27.47
220
23.59
184
20.37
219
30.03
218
16.50
171
20.42
287
14.24
177
8.81
178
0.16
113
0.03
33
0.18
194
0.10
140
0.27
78
0.56
66
BSDual-CNNtwo views10.33
201
1.86
74
9.14
103
7.14
178
4.12
196
15.83
225
8.93
242
34.15
289
23.28
179
18.82
198
21.95
144
22.14
231
13.58
206
14.72
186
9.53
190
0.36
169
0.13
109
0.15
182
0.04
90
0.37
119
0.46
55
psmgtwo views10.36
202
1.86
74
9.14
103
5.58
75
4.12
196
15.74
224
7.65
229
30.05
243
23.28
179
21.80
246
26.26
180
22.14
231
13.58
206
14.72
186
9.53
190
0.36
169
0.13
109
0.17
191
0.04
90
0.44
145
0.67
79
CFNet-ftpermissivetwo views10.46
203
3.02
216
7.10
41
7.69
205
5.42
246
16.93
244
5.92
188
22.83
173
22.31
173
15.81
129
30.40
222
26.42
265
15.19
229
13.60
168
12.18
219
0.14
105
0.10
100
1.87
318
0.34
236
1.22
250
0.73
89
CFNet_RVCtwo views10.46
203
3.02
216
7.10
41
7.69
205
5.42
246
16.93
244
5.92
188
22.82
172
22.31
173
15.81
129
30.40
222
26.41
264
15.19
229
13.60
168
12.19
220
0.14
105
0.10
100
1.87
318
0.34
236
1.22
250
0.73
89
qqq1two views10.51
205
1.90
79
14.85
246
4.89
43
1.48
91
14.92
205
3.21
121
31.03
249
30.74
244
20.28
214
29.37
209
18.33
200
14.54
217
16.56
219
4.42
85
0.41
180
1.20
279
0.00
1
0.14
158
0.39
130
1.60
182
fff1two views10.51
205
1.90
79
14.85
246
4.89
43
1.48
91
14.92
205
3.21
121
31.03
249
30.74
244
20.28
214
29.37
209
18.33
200
14.54
217
16.56
219
4.42
85
0.41
180
1.20
279
0.00
1
0.14
158
0.39
130
1.60
182
UDGNettwo views10.51
205
14.75
347
11.91
200
10.29
281
2.78
148
7.93
130
1.94
72
19.31
131
34.57
280
17.74
174
13.70
64
13.56
136
7.30
108
13.52
162
7.18
152
5.80
352
0.11
104
12.86
370
2.76
338
9.87
353
2.34
260
ICVPtwo views10.54
208
2.11
126
7.49
53
9.62
263
3.41
173
13.85
192
6.34
201
26.81
213
23.24
178
16.90
155
31.76
245
27.31
273
12.81
196
12.18
109
12.47
227
1.59
300
0.58
211
0.19
200
0.13
149
0.63
189
1.45
170
Kwon, Oh-Hun and Zell, Eduard: Image-Coupled Volume Propagation for Stereo Matching. 2023 IEEE International Conference on Image Processing (ICIP)
CFNet_ucstwo views10.56
209
2.15
136
12.88
215
5.55
74
4.11
195
15.24
215
3.93
141
28.55
227
32.41
258
18.70
195
24.95
168
22.99
237
9.66
148
14.22
176
8.13
167
0.29
157
0.84
239
1.63
314
0.23
196
3.43
309
1.31
154
cf-rtwo views10.67
210
2.34
161
9.77
126
6.17
112
5.79
258
12.94
180
5.14
165
25.21
195
27.86
225
17.84
177
32.03
248
25.81
259
15.91
239
12.22
111
12.56
229
0.17
119
0.19
122
0.05
103
0.06
114
0.59
183
0.72
86
RAFT + AFFtwo views10.71
211
4.59
262
18.51
286
10.52
288
5.02
231
13.14
183
11.12
279
26.24
203
27.48
222
15.09
112
16.07
79
19.83
215
11.23
166
17.09
231
10.38
198
0.45
193
1.45
316
0.65
267
0.23
196
2.31
289
2.74
281
hknettwo views10.77
212
1.95
84
11.80
194
7.14
178
3.83
187
15.83
225
8.93
242
34.15
289
22.70
176
18.82
198
21.95
144
23.13
239
17.03
255
16.94
228
9.85
194
0.28
155
0.13
109
0.15
182
0.04
90
0.37
119
0.46
55
ttttwo views10.82
213
2.17
141
9.66
124
7.03
170
4.44
209
14.16
197
6.87
211
33.72
284
30.69
242
15.67
126
31.50
240
14.99
153
10.50
157
16.54
218
13.98
234
0.41
180
1.31
293
0.10
141
0.29
219
0.47
156
1.92
209
ACVNettwo views10.83
214
2.25
149
7.10
41
6.43
128
3.02
162
13.17
184
3.75
138
22.83
173
35.15
286
15.81
129
30.67
227
24.65
250
15.77
237
16.47
215
18.13
262
0.16
113
0.01
6
0.06
110
0.07
121
0.65
195
0.43
51
AdaStereotwo views10.85
215
4.57
261
10.79
168
9.59
262
3.46
174
17.49
250
6.29
198
32.70
272
26.07
209
19.04
203
26.55
184
19.60
214
10.12
154
17.71
241
10.38
198
1.00
267
0.05
47
0.42
251
0.02
72
0.70
205
0.46
55
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.
SMFormertwo views11.03
216
1.90
79
14.85
246
4.89
43
1.48
91
14.92
205
3.21
121
31.03
249
30.74
244
20.28
214
29.37
209
18.33
200
14.54
217
16.56
219
14.46
237
0.41
180
1.20
279
0.28
232
0.24
200
0.45
149
1.47
172
ttatwo views11.03
216
1.90
79
14.85
246
4.89
43
1.48
91
14.92
205
3.21
121
31.03
249
30.73
243
20.28
214
29.37
209
18.33
200
14.54
217
16.56
219
14.46
237
0.41
180
1.20
279
0.28
232
0.24
200
0.39
130
1.60
182
iResNettwo views11.06
218
4.16
255
16.83
270
7.89
219
2.23
130
15.59
218
9.17
249
24.49
189
29.14
233
20.78
225
31.13
235
16.87
177
11.58
172
15.45
201
12.50
228
0.64
225
0.05
47
0.02
70
0.10
140
0.79
220
1.71
191
CFNettwo views11.23
219
3.41
233
10.68
165
7.08
176
4.22
200
17.38
249
4.83
162
31.29
259
31.29
250
19.15
205
26.85
187
24.06
246
13.75
210
16.23
208
12.22
221
0.26
150
0.05
47
0.44
252
0.09
133
0.92
236
0.41
48
AACVNettwo views11.24
220
3.71
245
11.56
188
9.45
258
3.35
170
11.67
167
4.88
163
23.23
177
14.00
94
28.19
303
29.90
217
30.39
288
18.03
267
20.04
259
13.22
232
0.50
200
0.21
131
0.23
217
0.07
121
0.75
215
1.52
178
DeepPruner_ROBtwo views11.28
221
5.83
284
15.23
252
6.93
167
4.50
213
10.08
141
6.62
204
36.65
319
20.17
156
18.12
184
27.95
194
23.10
238
13.43
201
20.08
260
11.90
215
1.16
285
0.51
194
0.23
217
0.17
174
1.11
246
1.91
208
GMStereo_Zeroshotpermissivetwo views11.32
222
8.59
316
21.66
305
10.06
273
2.53
140
12.38
169
1.43
30
21.36
159
21.50
165
23.48
264
35.74
290
24.85
252
6.12
82
20.48
267
8.28
169
0.83
248
0.02
21
0.25
223
0.01
53
6.33
336
0.53
61
LMCR-Stereopermissivemany views11.32
222
4.98
272
11.87
198
14.09
326
4.01
190
16.97
246
5.70
180
26.41
207
23.41
182
22.57
257
22.11
149
15.18
158
15.44
233
21.48
284
17.57
258
2.29
316
0.04
40
0.00
1
0.03
80
1.53
267
0.65
76
LL-Strereotwo views11.34
224
4.25
256
13.90
232
9.09
250
6.20
274
7.31
116
8.93
242
35.93
308
30.30
238
16.93
156
15.83
76
21.85
228
17.45
262
21.92
288
10.25
196
0.43
187
1.47
319
0.74
273
0.08
127
1.15
247
2.71
279
GwcNet-RSSMtwo views11.34
224
2.72
198
10.26
146
7.24
188
5.38
242
12.67
176
6.70
207
26.70
212
31.93
255
17.56
172
34.45
281
24.37
249
15.77
237
13.70
170
15.31
240
0.19
131
0.20
123
0.14
177
0.05
104
0.81
225
0.64
74
HSM-Net_RVCpermissivetwo views11.37
226
1.57
40
6.32
22
5.99
106
2.67
144
20.99
276
7.19
219
28.50
225
28.64
230
21.03
234
25.84
175
33.64
311
16.37
247
16.83
225
10.76
206
0.21
135
0.08
87
0.02
70
0.00
1
0.16
35
0.55
64
Gengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan: Hierarchical Deep Stereo Matching on High-resolution Images. CVPR 2019
NINENettwo views11.46
227
3.02
216
11.83
196
8.45
236
5.40
243
19.47
264
2.69
103
39.63
340
34.82
281
19.11
204
27.64
192
14.37
144
11.63
174
16.21
207
12.39
223
0.94
262
0.21
131
0.29
236
0.00
1
0.48
158
0.55
64
ToySttwo views11.51
228
2.48
181
17.84
282
6.10
109
2.09
120
16.11
231
12.36
293
25.07
192
28.25
228
15.22
114
25.16
169
25.51
258
15.98
240
17.63
240
15.46
243
0.19
131
1.08
262
0.04
95
0.31
225
0.66
200
2.67
276
DAStwo views11.51
228
2.60
191
15.62
260
9.37
256
6.27
279
16.04
227
7.71
230
22.70
170
33.92
270
19.53
209
29.03
204
19.51
212
19.10
276
17.44
235
8.98
180
0.78
243
0.02
21
0.29
236
0.01
53
0.48
158
0.81
95
ac_64two views11.57
230
2.13
134
11.77
193
8.79
246
5.51
249
19.40
262
6.29
198
24.72
191
15.20
105
23.50
265
24.91
166
33.07
305
16.82
252
19.33
254
17.78
260
0.53
204
0.15
115
0.02
70
0.03
80
0.35
106
1.03
123
mmxtwo views11.59
231
2.34
161
12.99
219
6.28
119
3.81
182
12.43
170
7.47
224
32.76
274
28.92
231
16.64
148
32.03
248
17.29
181
11.78
177
17.54
236
24.30
299
0.24
143
1.21
283
0.80
278
0.37
244
0.65
195
1.89
204
xxxcopylefttwo views11.59
231
2.34
161
12.99
219
6.28
119
3.81
182
12.43
170
7.47
224
32.75
273
28.92
231
16.64
148
32.03
248
17.29
181
11.78
177
17.54
236
24.30
299
0.24
143
1.21
283
0.80
278
0.37
244
0.65
195
1.89
204
NOSS_ROBtwo views11.76
233
4.63
264
8.14
72
7.46
197
2.92
155
17.82
253
10.55
269
30.45
246
34.08
274
16.37
137
19.97
117
23.14
240
16.31
243
18.22
246
10.67
205
2.98
328
1.84
329
3.39
342
1.64
324
2.24
285
2.37
263
HSMtwo views11.89
234
2.32
157
8.70
83
6.70
150
4.10
194
16.45
236
8.06
236
30.42
245
20.31
158
23.35
263
26.42
183
41.60
347
17.59
264
20.66
270
9.57
192
0.11
89
0.03
33
0.01
55
0.01
53
0.24
56
1.22
142
SepStereotwo views12.04
235
2.60
191
15.62
260
9.37
256
6.27
279
16.04
227
7.71
230
22.70
170
33.92
270
19.53
209
29.03
204
19.51
212
19.10
276
27.97
318
8.98
180
0.78
243
0.02
21
0.29
236
0.01
53
0.48
158
0.81
95
DMCA-RVCcopylefttwo views12.06
236
4.35
258
14.21
239
10.52
288
4.86
222
13.84
191
4.33
150
25.20
193
24.13
188
20.56
223
29.22
207
26.65
267
25.85
314
17.02
229
16.34
249
0.41
180
0.35
161
0.55
260
0.24
200
0.83
230
1.81
196
1111xtwo views12.31
237
2.33
159
12.13
205
5.79
100
2.84
150
15.49
216
8.70
240
36.34
314
29.33
234
16.58
144
27.52
191
26.70
269
15.76
236
17.21
232
24.79
306
0.26
150
1.37
305
0.04
95
0.42
261
0.46
154
2.07
243
UPFNettwo views12.31
237
2.15
136
11.91
200
7.90
220
7.21
300
20.03
270
9.28
250
29.44
236
27.18
220
20.88
228
30.86
231
21.23
223
18.11
268
19.60
256
17.41
257
0.55
211
0.57
208
0.26
225
0.07
121
0.67
202
0.92
107
FADNet-RVC-Resampletwo views12.31
237
5.22
276
32.28
333
10.14
276
4.08
193
14.97
209
6.98
215
26.54
209
24.42
192
23.72
266
29.31
208
19.87
216
15.01
225
16.26
212
10.61
204
0.65
226
0.52
197
0.48
255
0.54
278
1.52
266
3.09
293
RASNettwo views12.38
240
2.58
189
12.48
213
6.76
152
5.97
266
16.37
234
6.74
208
34.99
300
22.20
170
17.44
166
33.11
265
22.81
236
24.84
307
20.33
264
18.27
265
1.16
285
0.05
47
0.06
110
0.01
53
0.27
78
1.06
127
test_xeamplepermissivetwo views12.39
241
2.09
120
10.36
149
5.73
95
3.06
164
18.17
256
6.27
197
31.98
266
24.37
191
18.78
197
33.92
277
19.09
211
16.00
241
14.60
184
39.03
362
0.19
131
1.32
295
0.01
55
0.33
233
0.36
113
2.04
238
iResNet_ROBtwo views12.41
242
3.19
222
12.39
210
6.63
142
3.72
178
16.98
247
2.64
99
32.29
268
38.58
306
26.93
295
33.73
273
26.24
263
17.40
261
17.36
234
8.95
179
0.33
164
0.01
6
0.00
1
0.00
1
0.40
134
0.35
29
DSFCAtwo views12.44
243
3.00
213
14.87
250
6.04
107
7.03
296
17.06
248
10.86
275
31.11
254
32.12
256
26.41
290
23.81
160
22.37
233
15.13
228
21.13
279
13.53
233
0.95
264
0.66
217
0.28
232
0.38
255
1.21
249
0.77
93
FADNet_RVCtwo views12.44
243
6.19
291
40.86
349
7.04
171
3.69
177
11.30
160
4.17
147
29.67
238
27.67
224
18.20
186
26.04
176
13.47
134
17.15
256
16.85
227
14.95
239
0.99
266
0.75
226
0.60
263
1.32
317
4.18
319
3.62
302
CBMV_ROBtwo views12.51
245
3.86
248
7.98
66
5.81
102
2.99
161
16.05
230
4.62
157
27.61
222
31.37
251
26.75
293
32.62
260
23.97
245
22.66
301
21.14
280
12.09
216
2.15
314
1.78
328
2.24
324
1.27
316
1.64
270
1.54
180
NLCA_NET_v2_RVCtwo views12.58
246
4.09
252
18.25
284
8.26
230
5.83
262
14.72
202
5.85
186
33.49
282
27.86
225
22.14
251
32.16
255
24.94
254
14.01
215
16.19
206
16.82
255
0.90
258
0.35
161
0.37
247
0.58
284
1.51
265
3.31
297
Zhibo Rao, Mingyi He, Yuchao Dai, Zhidong Zhu, Bo Li, and Renjie He.: NLCA-Net: A non-local context attention network for stereo matching.
acv_fttwo views12.59
247
2.25
149
13.50
228
8.30
232
6.23
275
19.81
268
6.34
201
26.43
208
35.15
286
26.38
289
30.67
227
24.65
250
14.91
224
16.47
215
19.16
274
0.16
113
0.01
6
0.06
110
0.07
121
0.74
211
0.43
51
hitnet-ftcopylefttwo views12.59
247
3.03
219
7.87
63
7.49
200
4.20
199
27.41
317
3.75
138
23.41
180
24.15
189
21.14
236
34.12
278
31.93
297
19.74
284
20.28
263
18.13
262
0.54
209
1.45
316
0.35
245
0.09
133
1.26
253
1.41
167
xxxxtwo views12.60
249
2.03
103
10.79
168
6.18
114
2.86
152
21.84
282
3.02
114
34.55
297
25.46
204
16.39
138
31.58
243
26.87
272
14.75
223
14.00
175
37.45
354
0.21
135
1.36
304
0.01
55
0.32
227
0.35
106
2.07
243
pcwnet_v2two views12.68
250
2.30
154
18.36
285
8.32
233
5.74
256
17.73
252
4.77
161
36.75
322
46.28
342
20.98
232
29.07
206
16.62
172
13.52
202
16.56
219
10.30
197
0.55
211
1.02
259
0.34
244
0.24
200
2.10
281
2.11
250
iResNetv2_ROBtwo views12.78
251
4.09
252
15.60
258
6.44
130
3.75
180
14.86
203
7.17
217
34.46
295
37.12
294
26.06
285
34.81
285
29.76
279
16.32
244
14.77
190
7.67
157
0.31
160
0.03
33
0.12
165
0.01
53
0.94
237
1.23
144
ADLNettwo views12.84
252
2.93
208
11.94
202
8.87
247
6.88
292
17.96
254
8.85
241
34.12
287
26.67
215
27.81
302
26.24
179
26.84
271
15.04
226
17.54
236
19.94
278
0.59
218
0.58
211
0.24
221
0.11
144
0.80
224
2.85
285
CBFPSMtwo views12.96
253
3.37
232
30.97
328
5.30
62
3.22
166
22.79
289
16.93
326
21.82
160
21.35
162
21.93
248
28.34
199
29.99
283
17.38
260
15.32
200
16.39
250
0.11
89
0.48
188
0.10
141
0.17
174
0.58
177
2.72
280
ADLNet2two views12.99
254
2.94
209
14.18
237
9.57
261
5.96
265
20.23
273
10.41
268
33.05
276
37.61
298
19.46
208
19.74
115
22.46
234
18.63
270
22.37
291
20.76
282
0.37
173
0.15
115
0.06
110
0.08
127
1.04
244
0.72
86
dadtwo views13.05
255
11.39
330
15.64
262
7.35
191
2.10
121
15.64
219
3.48
132
18.77
125
35.55
289
27.77
300
33.76
275
31.59
291
13.04
197
14.79
191
11.16
212
3.35
334
0.54
200
7.85
361
0.96
304
3.88
317
2.49
271
AASNettwo views13.05
255
3.27
226
12.23
207
10.28
280
6.90
293
17.61
251
7.88
232
41.14
345
38.29
303
23.20
262
29.62
214
16.85
176
15.59
235
15.50
203
19.03
272
0.39
175
0.03
33
0.78
275
0.05
104
1.32
257
1.08
130
HBP-ISPtwo views13.07
257
8.80
317
8.99
92
8.11
228
4.55
215
13.48
188
6.60
203
29.09
234
30.50
240
21.33
238
36.14
291
16.62
172
19.42
280
20.92
275
12.81
230
3.63
336
2.61
346
7.18
357
4.12
350
3.74
315
2.69
278
222two views13.07
257
1.99
93
10.74
167
6.56
134
2.74
146
19.95
269
2.54
94
34.13
288
24.42
192
22.52
256
31.39
237
20.78
219
16.99
254
14.31
178
48.07
384
0.16
113
1.33
299
0.01
55
0.32
227
0.37
119
2.02
233
UNettwo views13.18
259
2.47
178
14.45
241
7.45
196
7.82
315
26.01
308
4.67
160
34.38
294
29.42
235
20.90
230
31.81
246
26.68
268
18.98
273
21.08
278
15.56
244
0.21
135
0.06
71
0.27
226
0.09
133
0.37
119
1.01
120
HGLStereotwo views13.21
260
3.45
235
14.01
234
10.32
283
7.72
312
15.72
223
7.19
219
31.94
265
28.12
227
20.83
227
36.16
293
26.61
266
20.82
289
18.74
249
19.63
277
1.01
269
0.22
133
0.07
125
0.08
127
0.59
183
1.00
119
GEStereo_RVCtwo views13.23
261
3.13
220
15.23
252
10.33
284
4.95
227
18.92
261
11.46
284
31.58
263
48.03
344
20.51
222
27.68
193
19.00
210
13.31
200
20.44
266
16.01
247
1.15
284
0.51
194
0.10
141
0.14
158
0.67
202
1.47
172
delettwo views13.26
262
2.43
177
12.99
219
8.45
236
6.26
278
22.40
285
10.83
274
28.78
230
38.76
307
20.39
221
30.36
221
20.85
220
17.67
265
22.97
293
19.13
273
0.14
105
0.45
183
0.19
200
0.08
127
0.78
219
1.24
146
CRFU-Nettwo views13.32
263
3.53
238
12.90
217
8.76
245
6.05
269
26.25
310
10.15
265
25.86
197
14.68
100
30.76
321
30.58
225
30.11
286
21.59
298
20.52
268
20.28
280
1.53
299
0.48
188
0.27
226
0.16
170
0.64
194
1.28
150
CSP-Nettwo views13.41
264
3.62
244
11.03
179
6.62
141
4.07
192
25.76
307
9.61
257
29.66
237
27.14
219
29.97
315
33.42
270
29.84
281
17.23
258
20.64
269
16.03
248
1.12
280
0.41
177
0.03
84
0.00
1
0.75
215
1.29
152
MMNettwo views13.55
265
2.82
203
13.90
232
7.63
202
6.36
282
26.45
312
4.63
158
24.00
185
42.67
323
26.25
288
33.12
266
20.98
222
19.45
282
20.14
261
19.49
276
0.75
235
0.54
200
0.11
160
0.01
53
0.53
168
1.10
131
STTStereotwo views13.60
266
5.63
281
28.73
323
8.07
226
5.65
255
13.97
194
7.17
217
31.25
256
26.70
216
25.59
281
32.06
254
31.71
294
14.71
222
17.24
233
16.46
252
0.29
157
0.40
171
0.71
270
1.43
320
1.31
255
2.82
283
SGM-Foresttwo views13.63
267
2.55
188
8.22
74
6.30
125
2.16
127
23.84
295
11.13
280
34.68
298
32.40
257
27.27
296
33.02
262
30.08
285
17.82
266
22.13
289
15.40
242
1.66
306
0.32
153
0.88
287
0.03
80
0.79
220
1.93
210
Johannes L. Schönberger, Sudipta Sinha, Marc Pollefeys: Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching. ECCV 2018
TDLMtwo views13.70
268
4.93
271
11.80
194
11.93
313
5.53
250
16.75
242
14.38
307
36.12
312
32.59
260
23.08
261
27.03
188
25.90
261
15.40
231
25.87
308
14.23
235
1.24
292
0.09
90
1.53
312
0.61
286
2.06
280
2.94
288
AANet_RVCtwo views13.75
269
6.34
292
12.90
217
8.87
247
4.53
214
14.09
196
9.12
247
29.37
235
38.32
304
23.85
269
37.41
298
23.55
243
17.51
263
23.31
296
18.56
266
2.08
313
1.30
291
0.25
223
0.06
114
0.73
209
2.87
286
ssnet_v2two views13.84
270
3.15
221
13.44
227
7.99
223
3.08
165
22.60
286
14.51
310
36.65
319
33.59
268
22.04
250
26.10
177
28.64
275
17.16
257
23.13
294
20.86
284
0.50
200
0.32
153
0.20
205
0.13
149
1.41
260
1.38
161
FADNet-RVCtwo views13.86
271
12.75
341
41.65
350
8.64
241
4.63
216
16.45
236
6.89
212
28.91
231
24.20
190
20.89
229
31.44
239
26.73
270
11.37
170
21.58
286
15.91
245
0.25
147
0.14
114
0.14
177
0.24
200
2.97
299
1.50
177
psm_uptwo views13.88
272
2.70
197
10.89
174
10.20
278
5.97
266
15.01
211
12.58
295
39.13
337
31.75
253
21.39
239
31.09
234
30.18
287
25.01
310
20.33
264
17.62
259
0.75
235
0.39
169
0.18
194
0.03
80
0.82
228
1.67
188
DLCB_ROBtwo views13.97
273
3.74
246
11.01
178
9.99
272
5.85
263
21.40
279
10.37
267
30.17
244
30.49
239
28.21
304
32.18
256
32.67
301
21.17
293
20.20
262
18.59
267
0.34
166
0.18
120
0.41
250
0.15
164
0.61
187
1.76
195
StereoDRNet-Refinedtwo views14.03
274
3.52
237
12.77
214
8.70
243
3.31
168
18.50
258
4.58
155
29.08
233
30.59
241
29.85
313
42.52
331
25.24
256
19.57
283
23.88
298
23.55
294
0.44
190
0.07
81
0.54
259
0.38
255
0.88
235
2.64
274
Rohan Chabra, Julian Straub, Chris Sweeney, Richard Newcombe, Henry Fuchs: StereoDRNet. CVPR
iinet-ftwo views14.05
275
5.00
273
47.51
359
6.57
135
4.04
191
21.14
277
14.37
305
28.25
223
21.37
163
21.95
249
31.37
236
21.31
225
18.66
271
16.15
205
20.61
281
0.31
160
0.41
177
0.09
133
0.05
104
1.00
242
0.76
91
CVANet_RVCtwo views14.09
276
4.82
269
10.86
173
9.46
259
5.60
254
19.70
267
12.94
300
33.38
280
34.86
282
23.72
266
33.31
267
29.76
279
16.35
246
24.37
299
12.45
226
1.22
290
0.23
135
1.45
311
0.87
298
3.41
308
3.01
290
SACVNettwo views14.10
277
5.24
277
14.19
238
12.11
315
6.12
272
18.45
257
9.11
246
33.13
277
22.94
177
28.79
307
33.88
276
32.69
302
23.78
302
20.91
274
12.13
218
1.08
274
0.54
200
0.84
286
0.48
270
1.41
260
4.26
310
PS-NSSStwo views14.36
278
8.44
314
16.43
267
7.44
195
5.79
258
18.65
260
12.71
298
39.02
334
26.84
217
20.99
233
36.15
292
21.47
226
18.25
269
18.21
245
18.63
268
2.44
321
0.55
204
5.38
347
0.37
244
5.25
328
4.11
309
CBMVpermissivetwo views14.52
279
4.59
262
9.99
135
6.61
140
2.85
151
22.76
288
12.45
294
30.63
248
33.32
264
31.98
325
35.00
287
31.68
292
19.43
281
26.53
311
16.71
254
1.28
294
0.61
214
0.63
265
0.12
146
1.26
253
1.89
204
Konstantinos Batsos, Changjiang Cai, Philippos Mordohai: CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation. Computer Vision and Pattern Recognition (CVPR) 2018
FADNettwo views14.77
280
11.96
334
39.55
348
8.50
238
6.64
286
18.53
259
6.74
208
35.70
306
35.06
284
19.21
206
28.06
196
28.14
274
13.94
213
18.54
248
11.61
214
0.48
195
0.75
226
0.38
249
0.49
273
9.17
348
2.05
241
fast-acv-fttwo views14.96
281
4.73
266
17.68
280
8.03
225
5.27
239
28.61
323
9.97
262
26.25
205
35.58
290
26.03
284
38.02
304
31.91
296
21.50
295
19.25
253
21.18
285
0.61
222
0.38
167
0.63
265
0.48
270
1.31
255
1.73
192
pmcnntwo views15.27
282
4.31
257
22.32
309
7.46
197
4.46
211
22.15
284
15.74
317
28.53
226
31.88
254
27.78
301
40.04
317
39.06
333
19.11
278
18.79
250
20.78
283
1.04
272
0.23
135
0.00
1
0.00
1
0.53
168
1.17
137
Anonymous_2two views15.61
283
7.12
298
18.63
289
6.49
131
7.98
316
26.94
315
11.93
288
19.48
132
18.48
145
18.25
189
15.95
77
24.18
247
21.32
294
21.17
281
15.94
246
10.88
367
13.80
381
11.19
368
25.13
383
10.92
359
6.42
334
NVstereo2Dtwo views15.77
284
4.01
250
17.73
281
9.96
271
8.10
321
30.36
331
9.52
252
43.10
355
43.12
326
15.45
119
28.03
195
23.46
242
16.84
253
24.62
300
17.06
256
3.35
334
0.87
244
1.76
316
1.13
310
7.76
342
9.19
357
StereoDRNettwo views16.00
285
5.45
279
16.67
269
11.34
306
8.74
330
25.62
304
11.07
278
40.40
343
37.03
293
29.77
312
30.04
219
34.35
316
19.09
275
19.81
257
25.28
309
0.65
226
0.30
150
0.16
188
0.14
158
1.80
274
2.33
259
Wz-Net-LNSev-Reftwo views16.12
286
4.56
260
29.46
324
7.78
212
6.11
271
26.08
309
13.01
301
31.08
253
37.61
298
27.66
298
46.96
352
29.92
282
15.40
231
21.54
285
22.39
287
1.09
276
0.05
47
0.10
141
0.00
1
0.43
142
1.21
141
DRN-Testtwo views16.60
287
4.76
267
16.90
273
10.75
293
8.16
322
29.42
327
14.37
305
43.26
357
39.35
308
28.93
309
35.46
289
29.03
277
20.11
286
20.78
272
24.51
305
0.94
262
0.93
250
0.46
254
0.35
238
1.42
262
2.12
251
SDNRtwo views16.80
288
5.88
286
30.01
326
6.39
127
6.53
283
57.67
385
3.15
116
24.30
186
31.49
252
21.50
241
36.56
296
14.69
148
16.76
251
19.14
252
14.45
236
11.12
370
14.00
382
3.11
338
0.51
275
8.86
347
9.92
362
DISCOtwo views16.93
289
2.58
189
17.15
276
8.26
230
4.37
207
27.65
319
10.68
270
31.28
258
44.93
335
22.21
252
34.47
282
36.48
324
23.91
303
36.14
348
34.48
349
0.35
167
0.11
104
0.04
95
0.07
121
1.95
276
1.40
165
PA-Nettwo views16.98
290
8.05
311
29.56
325
10.52
288
11.30
346
21.91
283
29.93
375
32.64
271
39.50
309
20.38
220
28.51
201
23.80
244
20.82
289
21.45
283
25.60
311
0.25
147
2.36
343
0.23
217
4.99
355
1.34
258
6.47
335
Zhibo Rao, Mingyi He, Yuchao Dai, Zhelun Shen: Patch Attention Network with Generative Adversarial Model for Semi-Supervised Binocular Disparity Prediction.
FINETtwo views17.02
291
8.11
312
28.42
322
9.29
255
8.89
332
24.46
296
25.06
362
35.40
303
49.52
349
26.73
292
33.49
272
20.50
218
18.75
272
20.67
271
19.18
275
2.30
317
2.09
334
1.13
299
0.75
293
2.86
296
2.84
284
GwcNetcopylefttwo views17.31
292
6.61
296
23.02
311
10.83
297
8.63
328
29.48
328
10.80
272
39.37
339
45.73
337
24.16
270
37.85
303
31.50
290
21.81
300
21.37
282
27.25
325
0.81
246
0.88
246
0.57
262
0.46
264
1.54
268
3.61
300
NaN_ROBtwo views17.35
293
7.91
307
18.84
291
11.29
304
4.93
225
33.28
342
20.75
345
38.10
329
43.81
327
30.28
318
31.53
241
32.88
303
20.88
291
29.10
323
17.85
261
0.40
177
0.43
182
0.31
241
0.44
263
0.98
239
3.03
291
S-Stereotwo views17.36
294
4.46
259
22.16
308
12.58
320
9.10
334
23.07
290
12.60
296
33.18
278
46.12
340
22.78
258
38.67
310
29.04
278
27.48
321
19.40
255
23.90
298
3.14
332
3.13
355
0.88
287
1.95
330
3.77
316
9.86
361
FAT-Stereotwo views17.45
295
3.56
239
19.19
293
10.31
282
6.54
284
18.00
255
14.89
313
38.68
332
40.49
312
27.39
297
39.66
314
37.32
326
32.14
347
21.07
277
22.97
290
3.68
337
2.16
339
0.81
283
1.21
314
2.10
281
6.78
337
DANettwo views17.51
296
8.91
318
27.61
319
14.94
334
7.48
302
22.67
287
5.66
178
27.33
219
26.64
213
32.62
332
36.27
294
37.40
327
30.07
337
31.65
333
26.09
317
1.30
295
1.46
318
2.33
326
0.53
277
3.54
311
5.69
323
Z Ling, K Yang, J Li, Y Zhang, X Gao, L Luo, L Xie: Domain-adaptive modules for stereo matching network. Neurocomputing 2021
MaskLacGwcNet_RVCtwo views17.56
297
17.23
354
20.10
297
12.02
314
6.91
294
28.81
324
11.45
283
41.35
346
21.95
167
30.13
317
34.66
283
32.04
299
11.30
168
21.04
276
16.43
251
8.91
360
2.67
347
12.29
369
0.84
296
12.72
365
8.43
352
PSMNet_ROBtwo views17.59
298
6.52
295
16.27
265
14.43
329
7.71
311
29.22
326
33.59
380
43.94
360
38.52
305
24.74
275
33.46
271
34.17
314
17.29
259
18.52
247
25.68
313
0.40
177
0.29
149
0.96
291
2.22
334
2.03
279
1.81
196
Syn2CoExtwo views17.68
299
11.86
333
28.39
321
20.88
356
8.24
323
25.66
305
12.35
291
37.57
325
33.60
269
29.57
310
39.80
316
30.02
284
28.00
324
19.91
258
18.91
271
1.14
283
0.53
199
1.23
305
0.46
264
1.97
277
3.61
300
GANettwo views17.85
300
5.41
278
14.79
244
11.91
312
4.73
217
24.54
298
17.04
329
41.01
344
34.96
283
33.06
333
45.84
347
39.83
338
29.19
331
24.71
302
22.45
289
1.34
296
0.41
177
1.09
295
0.70
291
2.15
283
1.89
204
GASNettwo views17.87
301
20.62
365
32.66
335
21.17
357
9.48
336
16.26
233
9.15
248
45.00
365
40.55
314
26.16
286
24.34
163
33.05
304
15.45
234
29.82
327
18.15
264
3.79
339
0.28
147
1.87
318
0.51
275
7.06
337
1.97
219
NCCL2two views17.94
302
7.94
309
16.87
272
24.07
367
7.60
307
24.52
297
17.08
330
35.42
304
26.65
214
32.01
326
38.57
307
41.96
350
27.61
322
22.24
290
24.43
304
0.65
226
0.33
159
2.64
332
2.13
333
2.28
288
3.86
308
ADCReftwo views18.01
303
8.01
310
44.10
353
10.75
293
8.85
331
27.18
316
11.06
277
31.77
264
34.40
277
31.90
324
42.45
330
18.79
207
21.55
297
25.18
305
35.17
350
1.03
271
0.42
181
2.18
323
1.79
326
1.38
259
2.27
258
XPNet_ROBtwo views18.03
304
6.06
290
18.19
283
11.68
309
6.83
290
21.23
278
16.93
326
36.66
321
39.82
311
32.51
331
42.05
329
41.04
344
25.77
313
25.72
306
28.80
335
1.67
307
0.91
249
0.79
276
0.27
214
1.24
252
2.38
266
SuperBtwo views18.07
305
7.33
301
56.73
371
8.42
235
5.42
246
20.39
274
9.73
260
26.04
199
50.80
353
26.88
294
39.52
313
17.79
196
21.54
296
23.17
295
25.96
316
0.77
240
0.32
153
1.11
298
0.73
292
16.11
372
2.75
282
RPtwo views18.36
306
5.94
288
17.54
279
15.95
344
12.33
352
21.55
281
12.66
297
28.65
228
45.65
336
23.78
268
42.55
332
39.77
337
29.54
334
26.72
312
23.58
296
6.14
354
1.05
261
4.38
344
1.77
325
3.90
318
3.82
307
APVNettwo views18.42
307
6.37
293
23.10
312
12.76
322
8.28
324
30.74
332
24.17
359
42.08
351
30.76
247
25.86
283
41.66
324
31.83
295
24.99
308
28.01
319
28.77
333
0.49
198
0.57
208
3.05
336
0.55
281
1.80
274
2.46
269
ETE_ROBtwo views18.45
308
10.71
322
20.90
302
14.23
328
4.92
224
23.28
292
22.01
348
33.00
275
36.14
292
30.68
320
39.03
312
46.10
363
26.28
315
27.52
316
26.22
318
0.53
204
0.49
191
1.16
300
0.94
299
1.69
272
3.07
292
PWCDC_ROBbinarytwo views18.66
309
11.24
328
21.32
304
18.82
352
8.08
320
25.75
306
6.94
214
35.08
301
53.33
360
30.37
319
49.70
360
20.87
221
21.63
299
31.05
332
22.39
287
6.94
357
0.28
147
0.10
141
0.06
114
5.98
335
3.22
295
Nwc_Nettwo views18.76
310
5.80
282
19.91
295
14.99
336
11.96
349
26.32
311
15.90
318
41.68
349
40.50
313
21.85
247
43.58
339
34.89
317
29.47
333
27.48
315
26.34
319
3.75
338
0.27
142
2.55
331
3.31
343
2.25
286
2.46
269
ADCP+two views18.93
311
5.83
284
35.35
339
9.85
269
10.36
341
29.49
329
13.65
303
34.22
292
37.75
300
30.02
316
41.45
322
24.18
247
26.43
318
34.71
342
36.58
352
0.27
154
0.40
171
2.00
321
1.19
312
2.31
289
2.66
275
MDST_ROBtwo views18.99
312
3.23
224
15.81
264
14.15
327
6.98
295
44.89
368
16.81
325
43.19
356
42.83
324
43.71
363
43.84
340
28.79
276
19.02
274
30.64
331
18.70
269
1.84
310
0.84
239
0.69
269
0.47
269
0.71
207
2.61
273
Wz-Net-LNSevtwo views19.04
313
11.48
331
43.55
352
10.82
296
8.01
318
24.96
300
17.46
334
34.72
299
44.36
330
33.43
336
44.72
345
32.54
300
24.13
304
21.64
287
24.38
303
0.93
261
0.22
133
0.00
1
0.03
80
1.44
263
1.99
230
AF-Nettwo views19.18
314
6.50
294
16.90
273
16.60
345
11.00
345
23.83
294
11.31
281
36.25
313
51.10
356
25.56
280
38.34
306
41.77
348
31.01
342
30.20
329
27.83
328
4.87
349
0.27
142
4.60
345
1.00
306
2.67
293
2.02
233
PWC_ROBbinarytwo views19.21
315
12.15
338
28.02
320
11.02
301
6.62
285
25.15
302
5.47
175
36.42
316
49.47
348
33.19
334
44.32
342
34.98
318
26.66
319
32.22
336
27.30
326
1.71
308
0.27
142
1.62
313
0.37
244
2.38
291
4.90
314
stereogantwo views19.38
316
4.02
251
18.62
288
13.54
324
10.30
340
37.03
351
9.83
261
39.12
336
46.13
341
25.09
278
41.76
326
40.01
339
27.19
320
32.16
334
25.48
310
2.44
321
1.13
268
2.70
334
0.86
297
5.45
330
4.81
311
edge stereotwo views19.38
316
5.98
289
19.25
294
11.11
302
8.07
319
23.51
293
12.74
299
35.93
308
42.55
321
35.05
340
43.06
336
41.34
346
36.05
354
26.06
309
25.62
312
2.70
325
2.47
344
6.38
351
1.54
322
3.18
307
5.01
316
RYNettwo views19.73
318
5.52
280
18.58
287
11.63
308
15.84
363
47.05
371
17.28
331
38.60
331
49.19
347
27.71
299
27.46
190
38.63
331
26.42
317
20.79
273
32.08
346
0.73
233
0.59
213
0.97
292
0.16
170
7.40
339
8.04
348
LALA_ROBtwo views19.82
319
8.32
313
18.64
290
13.59
325
5.79
258
28.03
321
23.44
354
43.09
354
37.57
297
33.91
339
41.55
323
50.73
372
25.61
312
29.09
322
27.30
326
0.73
233
0.67
218
2.08
322
1.42
319
2.70
294
2.12
251
Wz-Net-MNSevtwo views19.84
320
7.55
304
35.79
340
10.79
295
7.51
304
38.96
358
18.39
339
35.08
301
44.72
333
31.28
322
41.70
325
41.18
345
20.49
288
28.41
320
30.13
343
0.96
265
0.36
164
0.05
103
0.13
149
1.70
273
1.64
186
aanetorigintwo views19.84
320
13.32
343
54.46
366
10.07
274
7.99
317
14.16
197
15.32
314
17.85
113
34.49
278
49.59
372
48.88
357
34.28
315
31.32
344
23.53
297
29.64
339
1.12
280
0.81
234
0.73
271
0.94
299
3.05
300
5.23
320
Anonymous Stereotwo views19.84
320
13.55
344
51.68
363
15.30
338
12.97
355
16.15
232
25.32
363
33.73
285
44.41
331
25.12
279
35.39
288
25.00
255
16.27
242
32.62
337
33.04
348
1.83
309
2.26
342
1.76
316
2.01
331
3.57
312
4.92
315
SGM_RVCbinarytwo views20.33
323
3.24
225
8.92
90
7.20
186
1.62
102
39.61
360
17.01
328
39.11
335
35.12
285
46.26
368
42.62
333
51.57
374
39.45
361
39.66
366
29.87
341
1.16
285
0.37
166
0.55
260
0.35
238
1.20
248
1.64
186
Heiko Hirschmueller: Stereo processing by semiglobal matching and mutual information. TPAMI 2008, Volume 30(2), pp. 328-341
RTSCtwo views20.52
324
11.06
325
33.58
336
12.11
315
7.19
299
28.90
325
11.99
289
38.49
330
58.85
377
32.22
329
37.28
297
33.11
306
21.14
292
36.93
356
38.84
361
1.49
298
1.50
320
0.15
182
0.64
287
2.18
284
2.67
276
NCC-stereotwo views20.61
325
7.39
302
25.96
315
15.90
342
16.62
364
20.15
271
23.27
351
44.11
363
41.29
318
25.00
276
38.64
308
35.47
319
28.75
327
36.35
350
26.90
323
4.83
347
2.14
336
3.33
340
9.27
369
3.10
302
3.72
305
Abc-Nettwo views20.61
325
7.39
302
25.96
315
15.90
342
16.62
364
20.15
271
23.27
351
44.11
363
41.29
318
25.00
276
38.64
308
35.47
319
28.75
327
36.35
350
26.90
323
4.83
347
2.14
336
3.33
340
9.27
369
3.10
302
3.72
305
Xing Li, Yangyu Fan, Guoyun Lv, and Haoyue Ma: Area-based Correlation and Non-local Attention Network for Stereo Matching. The Visual Computer
DeepPrunerFtwo views20.61
325
12.13
337
46.35
356
21.53
358
17.78
367
19.41
263
23.64
357
37.23
324
50.61
350
26.20
287
37.72
299
24.90
253
25.02
311
24.63
301
23.53
293
3.13
331
1.65
324
5.69
348
4.09
349
3.64
314
3.34
298
RGCtwo views20.62
328
14.30
346
21.99
307
18.85
353
14.53
358
21.42
280
14.82
312
36.00
311
44.32
329
28.54
306
41.82
328
40.12
340
29.43
332
35.44
347
23.33
291
4.12
341
0.72
222
8.80
362
4.39
352
4.55
324
4.84
313
DGSMNettwo views20.75
329
13.28
342
34.59
338
14.80
333
17.14
366
23.25
291
17.99
338
36.39
315
43.00
325
20.70
224
32.67
261
36.05
323
19.22
279
30.34
330
25.04
308
4.61
344
4.62
366
6.31
350
5.20
357
14.71
369
15.15
374
WCMA_ROBtwo views21.17
330
5.89
287
22.32
309
10.39
286
7.65
309
34.55
345
16.42
323
33.20
279
34.02
273
42.06
357
52.50
364
44.09
355
37.59
357
33.66
340
26.77
322
7.45
359
3.18
356
1.27
308
1.43
320
4.18
319
4.81
311
psmorigintwo views21.56
331
11.18
327
36.59
342
10.19
277
7.08
297
25.30
303
12.35
291
33.52
283
33.12
263
43.62
362
54.15
372
42.72
351
37.44
356
36.87
355
28.98
336
1.65
305
2.78
350
0.81
283
1.19
312
3.62
313
8.10
349
G-Nettwo views21.66
332
9.10
319
39.39
346
15.85
341
9.60
337
51.00
376
16.73
324
28.32
224
31.17
249
38.99
350
43.24
337
33.26
309
32.09
346
28.50
321
26.50
321
4.74
346
3.92
363
3.60
343
1.02
307
8.42
346
7.86
346
FBW_ROBtwo views21.87
333
11.80
332
25.52
314
14.64
331
7.49
303
31.20
335
16.35
322
45.28
366
44.78
334
44.85
367
40.36
319
43.50
354
27.85
323
34.94
343
23.52
292
3.07
330
2.15
338
7.53
360
3.03
342
4.30
321
5.17
319
SANettwo views22.05
334
8.47
315
32.65
334
9.90
270
4.31
205
33.49
343
23.44
354
42.82
353
56.64
372
39.67
353
44.09
341
44.62
356
32.96
349
29.24
326
25.79
314
1.08
274
0.74
224
0.98
293
0.69
289
5.69
333
3.66
304
SQANettwo views22.07
335
25.29
373
21.78
306
26.81
371
18.92
370
30.75
333
10.25
266
33.47
281
30.10
237
25.73
282
34.31
280
33.45
310
19.94
285
29.16
324
20.03
279
11.68
371
3.08
354
26.95
380
5.80
359
20.97
378
12.99
369
UDGtwo views22.21
336
15.90
353
16.41
266
21.71
359
20.17
371
32.51
338
13.78
304
36.62
318
35.77
291
26.64
291
31.43
238
37.49
328
32.33
348
22.77
292
21.19
286
11.08
369
5.60
370
23.12
375
7.74
363
17.07
374
14.89
373
STTRV1_RVCtwo views22.31
337
18.60
358
39.50
347
16.79
346
23.81
379
29.59
330
15.67
316
35.42
304
34.27
275
35.05
340
34.94
286
31.94
298
28.80
329
29.17
325
23.89
297
12.64
376
3.40
358
6.58
352
4.73
354
15.20
371
6.23
329
SHDtwo views22.33
338
11.30
329
32.10
331
15.61
339
9.88
338
26.75
313
10.12
264
41.84
350
61.77
382
36.36
344
44.65
344
39.28
334
31.10
343
35.07
344
32.76
347
2.35
318
1.95
333
1.24
307
1.90
329
4.33
322
6.34
331
CSANtwo views22.36
339
11.11
326
26.06
317
21.79
360
5.59
253
34.55
345
36.54
382
40.04
342
50.84
354
37.47
347
40.31
318
45.09
359
33.07
350
27.44
314
25.80
315
1.60
303
0.75
226
1.08
294
1.80
327
2.89
297
3.36
299
ADCLtwo views22.44
340
7.79
305
49.20
361
10.61
292
7.28
301
40.40
364
21.03
346
32.07
267
55.07
364
28.53
305
48.73
355
31.68
292
31.69
345
34.04
341
38.38
357
1.22
290
0.93
250
2.65
333
1.89
328
2.65
292
2.94
288
CC-Net-ROBtwo views22.73
341
23.99
370
30.57
327
14.72
332
8.91
333
32.98
339
16.17
320
46.75
370
37.29
295
33.88
338
32.33
257
35.48
321
25.00
309
24.75
303
28.78
334
9.60
364
3.03
353
25.33
378
3.87
347
14.82
370
6.33
330
ADCPNettwo views22.75
342
10.94
324
58.96
375
12.24
318
7.57
305
37.33
352
20.08
344
33.89
286
37.37
296
33.49
337
44.32
342
39.36
336
28.43
326
32.19
335
38.55
359
2.25
315
2.69
349
2.37
328
3.59
346
4.33
322
5.01
316
MeshStereopermissivetwo views22.95
343
7.84
306
12.46
211
8.13
229
5.20
237
38.49
357
13.36
302
42.69
352
38.05
302
51.34
375
53.82
368
58.22
380
43.29
369
38.42
361
29.59
338
2.96
327
2.84
352
3.11
338
2.33
336
3.12
304
3.65
303
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
Wz-Net-SNSevtwo views23.35
344
18.18
356
47.37
358
14.55
330
8.63
328
28.33
322
29.16
373
39.88
341
55.80
369
32.16
328
53.91
370
39.35
335
24.42
305
27.60
317
38.11
356
1.06
273
0.24
137
1.20
302
0.95
302
3.16
306
2.93
287
DDUNettwo views23.49
345
20.59
364
17.13
275
24.58
368
22.45
375
24.86
299
17.96
337
31.42
260
31.06
248
29.59
311
37.81
301
37.85
329
26.39
316
25.77
307
18.74
270
18.99
379
8.10
378
26.65
379
11.80
375
19.41
377
18.58
379
MSMD_ROBtwo views23.50
346
10.55
321
15.65
263
17.87
351
10.07
339
35.58
348
19.04
341
34.53
296
37.81
301
41.55
356
60.11
379
46.01
362
39.81
362
32.74
338
24.92
307
6.86
356
3.63
361
8.92
363
11.16
374
7.21
338
5.99
327
LE_ROBtwo views23.59
347
4.64
265
16.84
271
8.59
239
3.05
163
33.01
340
18.53
340
28.96
232
67.40
393
70.71
395
55.67
375
48.44
369
48.90
376
26.06
309
37.98
355
0.44
190
0.24
137
0.27
226
0.54
278
0.49
166
0.98
116
ADCMidtwo views23.61
348
12.42
339
44.10
353
11.85
311
8.33
325
27.89
320
20.03
343
36.49
317
39.56
310
40.81
354
47.01
353
36.89
325
43.95
370
39.12
364
42.60
371
1.95
311
1.55
323
3.05
336
3.98
348
5.20
327
5.37
321
AnyNet_C32two views24.34
349
15.07
349
42.84
351
13.07
323
11.83
348
31.80
336
31.73
377
32.47
269
45.77
338
35.92
342
49.66
359
34.05
312
35.21
352
44.09
373
43.39
375
1.61
304
1.70
326
1.22
304
2.94
341
4.87
325
7.60
343
MFN_U_SF_DS_RVCtwo views24.71
350
14.86
348
32.18
332
26.47
370
10.48
342
40.27
363
22.83
350
36.88
323
44.51
332
42.59
358
47.13
354
40.20
341
28.00
324
36.70
353
28.36
329
4.23
343
4.00
364
6.73
353
16.35
380
5.05
326
6.34
331
ccnettwo views24.80
351
17.64
355
24.53
313
12.35
319
18.18
369
38.47
356
17.76
336
46.24
368
32.78
262
37.51
348
46.76
349
38.80
332
30.45
340
38.35
360
41.98
368
9.41
363
6.40
372
9.67
365
8.04
364
11.64
363
9.00
355
FC-DCNNcopylefttwo views25.07
352
12.06
336
20.30
298
19.06
354
9.41
335
38.40
355
23.46
356
41.37
347
44.07
328
46.76
370
53.99
371
50.49
371
39.32
360
36.43
352
29.46
337
7.40
358
3.39
357
6.15
349
5.01
356
8.05
343
6.83
338
XQCtwo views25.15
353
18.26
357
52.31
364
22.53
365
12.15
350
37.47
353
21.78
347
38.74
333
55.51
368
32.40
330
30.75
229
38.36
330
30.19
339
38.28
359
41.25
367
4.61
344
1.44
315
2.77
335
2.26
335
12.52
364
9.49
359
DPSNettwo views25.20
354
7.92
308
36.17
341
11.72
310
6.85
291
53.68
378
43.17
388
52.22
379
60.09
380
31.61
323
39.76
315
40.91
343
35.82
353
33.42
339
26.48
320
4.98
350
2.10
335
0.50
257
1.13
310
9.63
350
5.83
324
SGM-ForestMtwo views25.21
355
4.80
268
13.50
228
8.68
242
3.74
179
46.85
370
22.04
349
46.25
369
51.32
358
51.28
374
52.07
363
62.64
387
47.13
374
46.05
374
36.30
351
1.99
312
2.25
341
1.21
303
1.24
315
1.65
271
3.21
294
PDISCO_ROBtwo views25.35
356
10.44
320
31.01
329
29.47
375
20.36
372
38.32
354
17.74
335
45.56
367
55.34
366
29.88
314
42.94
335
46.63
364
29.76
335
36.23
349
31.29
345
10.74
366
2.20
340
6.96
354
3.53
345
9.98
354
8.52
353
EDNetEfficienttwo views25.68
357
22.94
369
77.88
400
9.49
260
7.66
310
20.89
275
17.37
332
22.52
167
56.02
370
61.49
386
53.31
366
35.83
322
41.88
368
25.06
304
39.53
363
0.86
253
0.83
238
0.91
289
2.82
339
8.28
344
7.98
347
Wz-Net-TNSevtwo views25.85
358
21.47
367
59.51
377
10.38
285
7.64
308
42.40
367
23.33
353
35.97
310
54.36
362
36.56
345
43.26
338
45.90
361
41.27
366
37.81
357
37.10
353
2.35
318
1.90
332
0.77
274
1.34
318
5.89
334
7.75
345
WZ-Nettwo views25.86
359
14.23
345
64.17
380
15.77
340
10.61
343
39.36
359
28.01
371
41.38
348
54.97
363
28.82
308
53.68
367
40.90
342
30.14
338
37.91
358
42.98
374
1.59
300
0.49
191
0.73
271
0.95
302
5.43
329
5.12
318
GANetREF_RVCpermissivetwo views26.12
360
30.35
375
27.03
318
26.08
369
6.28
281
31.16
334
37.25
384
48.48
372
50.90
355
37.30
346
36.39
295
34.11
313
30.98
341
38.51
362
28.38
330
9.08
361
2.68
348
16.48
372
5.42
358
16.24
373
9.34
358
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
FCDSN-DCtwo views26.18
361
15.77
352
20.36
299
28.79
374
15.78
362
40.13
362
19.12
342
43.57
358
42.59
322
44.78
366
52.51
365
50.73
372
40.32
364
35.32
346
28.55
331
6.41
355
3.61
360
7.11
356
6.54
360
10.58
355
10.93
367
Dominik Hirner, Friedrich Fraundorfer: FCDSN-DC: An accurate but lightweight end-to-end trainable neural network for stereo estimation with depth completion.
ADCStwo views27.11
362
15.49
351
48.87
360
15.20
337
10.99
344
31.86
337
24.37
360
43.99
361
58.30
375
43.12
360
49.92
361
41.90
349
41.43
367
42.90
372
46.29
379
3.00
329
2.60
345
2.45
330
3.47
344
7.63
340
8.41
351
DLNR_Zeroshot_testpermissivetwo views27.91
363
51.88
387
91.97
413
98.26
421
97.92
421
3.07
6
0.49
8
31.27
257
8.33
40
8.40
39
15.66
74
7.22
45
1.66
7
12.16
107
4.82
97
40.46
389
1.87
330
0.06
110
0.33
233
80.45
412
1.99
230
MFN_U_SF_RVCtwo views28.91
364
15.44
350
55.12
368
22.00
362
8.49
327
41.39
365
15.36
315
52.74
380
46.70
343
47.83
371
53.87
369
54.97
377
40.50
365
39.54
365
40.77
365
6.09
353
4.92
368
7.08
355
9.02
368
7.68
341
8.69
354
PASMtwo views29.37
365
19.17
359
50.43
362
23.55
366
23.15
377
27.62
318
27.82
370
35.90
307
50.76
352
35.98
343
40.55
320
47.26
367
34.98
351
35.28
345
38.72
360
12.58
375
15.96
383
17.57
374
22.46
382
13.71
366
13.92
372
EDNetEfficientorigintwo views29.50
366
36.05
380
99.77
425
9.67
264
5.93
264
26.79
314
16.02
319
26.87
214
55.18
365
61.15
383
57.72
376
45.04
358
50.99
379
26.90
313
44.78
377
0.53
204
0.54
200
1.72
315
2.53
337
11.05
360
10.75
364
AnyNet_C01two views30.67
367
27.57
374
76.09
398
17.61
348
12.18
351
50.42
375
28.89
372
39.14
338
41.14
317
41.36
355
65.66
390
47.21
366
40.16
363
47.50
375
49.82
386
2.38
320
2.79
351
2.31
325
2.83
340
8.35
345
9.99
363
LSMtwo views30.92
368
21.18
366
57.13
374
19.98
355
54.02
394
33.70
344
25.92
366
43.87
359
49.18
346
46.43
369
55.59
374
43.44
352
36.70
355
36.70
353
28.75
332
2.94
326
9.77
379
5.07
346
8.20
367
10.77
356
29.00
386
RTStwo views30.97
369
24.38
371
96.47
415
17.75
349
12.63
353
58.43
387
26.47
367
38.01
327
63.33
385
44.41
364
46.81
350
33.16
307
45.26
371
52.06
381
42.65
372
2.66
323
1.40
308
1.09
295
1.02
307
5.49
331
5.86
325
RTSAtwo views30.97
369
24.38
371
96.47
415
17.75
349
12.63
353
58.43
387
26.47
367
38.01
327
63.33
385
44.41
364
46.81
350
33.16
307
45.26
371
52.06
381
42.65
372
2.66
323
1.40
308
1.09
295
1.02
307
5.49
331
5.86
325
DispFullNettwo views31.01
371
32.97
376
59.04
376
30.27
376
28.46
381
33.06
341
11.44
282
37.69
326
54.13
361
33.30
335
37.78
300
44.68
357
28.96
330
42.19
371
29.68
340
12.35
374
3.56
359
36.10
384
12.90
377
32.29
385
19.42
381
coex-fttwo views31.29
372
39.15
384
93.51
414
9.71
267
5.77
257
36.25
350
26.79
369
31.43
261
59.45
378
73.35
399
58.73
377
45.49
360
48.48
375
30.19
328
46.52
381
1.59
300
1.71
327
0.94
290
0.97
305
9.43
349
6.35
333
MANEtwo views33.27
373
12.69
340
21.10
303
22.10
363
15.09
361
49.75
373
29.51
374
54.10
383
56.36
371
59.73
379
64.93
387
65.43
390
57.34
388
52.70
384
41.02
366
10.52
365
6.09
371
7.35
358
20.29
381
9.66
351
9.65
360
otakutwo views33.83
374
36.87
382
53.81
365
40.41
381
21.58
373
54.54
380
17.45
333
44.01
362
61.47
381
39.63
351
50.06
362
46.76
365
29.76
335
40.64
368
30.07
342
19.17
380
7.09
375
32.34
382
9.92
371
24.17
380
16.94
376
PVDtwo views34.10
375
19.91
361
39.04
345
27.08
372
18.09
368
35.11
347
44.32
390
52.16
378
66.36
390
53.04
377
64.50
386
52.33
375
56.17
384
52.24
383
42.11
369
4.17
342
4.82
367
9.60
364
4.65
353
11.11
361
25.25
384
ELAScopylefttwo views34.78
376
20.32
362
38.13
344
21.79
360
14.89
359
57.95
386
37.04
383
51.15
377
51.19
357
60.95
382
64.42
385
59.08
382
54.44
382
51.53
379
46.26
378
12.00
372
7.83
376
10.46
366
8.04
364
14.42
367
13.71
371
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
ELAS_RVCcopylefttwo views34.88
377
20.50
363
37.14
343
22.37
364
15.07
360
54.02
379
38.42
385
50.06
375
56.72
373
61.86
387
63.52
381
58.79
381
54.60
383
54.13
386
43.99
376
12.20
373
7.90
377
10.75
367
7.65
362
14.42
367
13.42
370
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
SAMSARAtwo views35.29
378
19.78
360
33.90
337
55.86
390
36.15
384
76.79
407
94.89
417
49.29
373
51.59
359
38.15
349
37.83
302
53.71
376
39.29
359
40.56
367
40.41
364
4.02
340
6.72
374
2.35
327
4.12
350
9.70
352
10.76
365
Ntrotwo views35.59
379
38.58
383
55.41
369
43.66
385
22.54
376
57.26
381
23.73
358
47.69
371
63.99
388
39.63
351
48.82
356
47.68
368
37.60
358
41.55
370
30.80
344
17.85
378
6.61
373
33.21
383
10.52
373
26.65
381
17.97
378
BEATNet-Init1two views36.29
380
22.72
368
56.79
372
28.53
373
13.41
357
59.81
390
33.49
378
53.72
382
58.64
376
60.78
381
63.63
382
70.42
392
56.59
386
53.93
385
46.48
380
5.63
351
4.14
365
7.49
359
7.45
361
11.35
362
10.88
366
ACVNet-4btwo views36.91
381
52.81
388
57.04
373
42.64
384
22.08
374
48.32
372
14.64
311
50.28
376
59.78
379
43.17
361
46.34
348
55.50
378
24.49
306
39.03
363
23.55
294
25.75
384
3.76
362
47.36
388
33.76
387
28.62
382
19.22
380
MSC_U_SF_DS_RVCtwo views37.85
382
35.62
379
55.10
367
38.16
380
13.19
356
57.63
384
24.72
361
52.87
381
63.40
387
66.39
391
63.74
383
58.16
379
54.28
381
51.56
380
47.39
382
9.36
362
5.44
369
14.82
371
15.34
379
18.80
376
11.04
368
FADEtwo views41.33
383
36.34
381
68.69
389
32.23
377
23.74
378
40.08
361
25.42
364
57.46
388
71.16
396
43.07
359
41.76
326
43.49
353
51.40
380
59.46
389
52.27
390
38.46
388
21.19
384
44.28
387
42.47
389
17.94
375
15.62
375
Consistency-Rafttwo views41.94
384
35.39
378
45.40
355
33.16
378
41.47
388
45.14
369
33.50
379
56.78
387
55.37
367
32.11
327
65.41
388
30.46
289
49.76
377
40.94
369
48.33
385
27.72
385
35.00
389
43.33
386
51.89
397
39.60
387
28.04
385
ACVNet_1two views42.11
385
50.66
386
66.19
385
45.24
387
25.33
380
50.11
374
25.60
365
55.90
384
65.25
389
60.15
380
59.98
378
63.57
388
50.05
378
50.45
378
38.46
358
20.06
381
11.00
380
38.79
385
14.48
378
31.31
384
19.68
382
NVStereoNet_ROBtwo views42.81
386
34.00
377
46.84
357
37.40
379
28.64
382
35.65
349
33.88
381
49.95
374
58.27
374
69.65
394
75.69
399
66.36
391
65.66
392
48.37
376
62.04
399
16.50
377
25.07
386
23.61
377
32.35
385
21.58
379
24.72
383
Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield: On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach. Arxiv
RainbowNettwo views51.77
387
63.10
396
65.03
384
60.15
391
39.21
387
59.39
389
31.46
376
57.61
389
78.49
405
50.61
373
66.05
391
59.57
383
45.26
371
50.17
377
42.57
370
46.92
393
45.90
394
53.26
392
32.46
386
54.03
393
34.14
389
anonymitytwo views52.60
388
58.73
390
63.81
379
41.37
383
59.41
398
53.52
377
41.39
386
56.50
386
40.60
315
55.03
378
49.64
358
49.57
370
56.22
385
59.42
388
50.07
387
55.57
396
50.19
400
51.15
390
51.23
395
51.90
389
56.75
397
MADNet+two views53.97
389
69.36
398
98.79
422
67.30
395
38.52
385
79.97
411
81.50
413
61.38
391
62.53
383
52.01
376
55.50
373
61.22
386
59.61
390
70.25
398
77.26
412
25.21
383
25.07
386
17.40
373
12.69
376
34.21
386
29.70
388
JetBluetwo views54.72
390
46.20
385
75.05
396
51.44
388
47.85
389
76.48
406
62.38
399
64.44
393
62.86
384
63.67
390
65.49
389
78.96
399
68.77
393
68.63
396
75.95
411
37.07
386
25.78
388
29.10
381
29.19
384
29.75
383
35.27
390
SGM+DAISYtwo views55.54
391
57.77
389
64.45
382
40.89
382
53.89
392
63.34
393
50.45
392
56.00
385
45.95
339
61.43
385
64.32
384
61.05
385
56.70
387
61.32
391
56.86
393
56.51
397
49.35
398
50.49
389
50.00
394
52.52
390
57.57
398
SPS-STEREOcopylefttwo views56.02
392
59.82
393
64.35
381
45.23
386
53.96
393
61.34
391
44.05
389
60.08
390
50.73
351
62.61
388
61.78
380
59.73
384
57.62
389
60.63
390
59.08
394
58.29
398
48.28
395
51.30
391
49.29
393
55.67
394
56.59
396
K. Yamaguchi, D. McAllester, R. Urtasun: Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. ECCV 2014
ACVNet_2two views58.13
393
62.74
395
73.58
395
66.59
394
38.77
386
63.23
392
49.56
391
72.12
403
82.24
409
79.37
407
88.96
415
76.25
396
73.29
398
55.14
387
48.05
383
38.17
387
24.21
385
54.92
393
37.94
388
48.23
388
29.29
387
IMH-64-1two views59.89
394
58.89
391
69.08
390
66.46
392
50.96
390
57.48
382
51.18
393
69.03
397
67.25
391
67.90
392
80.31
404
70.42
392
74.30
399
72.66
404
50.07
387
42.88
390
43.00
391
65.88
394
47.48
390
53.41
391
39.15
391
IMH-64two views59.89
394
58.89
391
69.08
390
66.46
392
50.96
390
57.48
382
51.18
393
69.03
397
67.25
391
67.90
392
80.31
404
70.42
392
74.30
399
72.66
404
50.07
387
42.88
390
43.00
391
65.88
394
47.48
390
53.41
391
39.15
391
IMHtwo views63.51
396
61.05
394
69.15
392
69.90
396
54.09
395
65.82
396
55.66
395
72.12
403
72.52
398
72.73
397
81.82
406
73.16
395
79.86
404
77.03
409
52.57
391
44.46
392
50.01
399
68.11
396
51.57
396
56.59
395
41.88
394
TorneroNet-64two views66.18
397
71.37
400
72.19
394
76.80
401
59.54
399
67.82
397
59.56
396
67.83
396
79.98
406
63.09
389
67.00
392
82.98
404
69.97
395
68.02
393
62.78
400
49.03
394
44.17
393
73.23
398
64.19
399
69.14
400
54.83
395
PWCKtwo views66.53
398
88.82
416
80.30
403
80.69
409
30.85
383
65.18
395
41.64
387
72.55
405
71.28
397
78.68
406
69.18
394
78.14
398
62.17
391
82.93
413
63.46
401
80.46
411
40.52
390
82.05
409
47.71
392
74.54
409
39.47
393
WAO-6two views71.06
399
73.42
402
67.24
386
79.78
408
61.93
402
69.67
398
60.23
397
75.12
408
87.02
412
74.87
400
79.60
403
79.28
400
84.75
410
68.25
395
61.91
398
67.67
402
48.98
397
81.65
407
73.43
404
66.76
398
59.64
399
TorneroNettwo views71.59
400
73.91
403
76.67
399
81.06
410
65.65
403
71.44
400
65.68
401
71.66
402
75.08
400
71.76
396
73.09
398
84.12
408
74.51
401
70.46
399
69.58
404
59.87
399
48.58
396
79.93
403
73.78
405
75.74
410
69.18
409
LVEtwo views71.96
401
73.19
401
84.13
407
75.60
399
55.78
397
75.59
403
63.60
400
77.67
409
83.64
410
82.16
408
87.25
414
83.54
406
82.79
409
76.17
407
65.22
402
49.11
395
57.71
406
74.86
400
62.93
398
66.84
399
61.36
400
MFMNet_retwo views72.11
402
79.45
408
64.79
383
52.91
389
84.26
414
78.00
409
69.47
404
64.08
392
67.45
394
61.33
384
71.28
396
64.22
389
69.42
394
72.45
401
61.54
396
81.63
413
73.93
414
80.19
405
74.21
406
83.02
414
88.49
417
WAO-7two views72.48
403
78.58
405
55.84
370
79.20
406
69.56
409
71.30
399
73.06
408
78.20
412
84.37
411
77.52
403
85.78
410
79.44
401
80.26
405
65.93
392
66.47
403
62.13
400
69.81
412
70.46
397
73.18
403
66.66
397
61.95
401
notakertwo views72.59
404
79.99
410
79.75
402
79.06
405
68.60
407
63.66
394
62.15
398
69.61
400
75.78
401
77.77
404
79.16
402
79.92
402
84.80
411
77.69
410
59.73
395
70.15
405
61.03
408
77.65
402
68.69
401
70.81
402
65.81
406
ktntwo views72.86
405
80.20
411
70.88
393
79.38
407
69.76
410
75.01
401
70.17
407
69.27
399
77.21
402
73.05
398
77.79
401
77.79
397
77.01
402
73.04
406
56.44
392
79.36
408
66.31
409
80.24
406
68.37
400
72.53
407
63.45
402
UNDER WATER-64two views73.59
406
75.19
404
88.26
410
74.50
398
55.55
396
78.94
410
76.55
410
65.86
394
68.37
395
75.79
402
69.24
395
84.00
407
77.49
403
69.01
397
73.11
407
81.39
412
57.22
405
82.69
411
80.62
409
69.53
401
68.45
408
LRCNet_RVCtwo views73.95
407
70.63
399
75.65
397
77.92
403
60.69
401
41.66
366
16.24
321
71.26
401
48.66
345
88.23
415
93.84
418
90.11
414
82.18
407
80.69
412
61.88
397
97.09
422
72.20
413
96.71
421
97.62
422
77.99
411
77.70
413
DPSimNet_ROBtwo views74.86
408
83.75
414
61.14
378
77.51
402
65.78
404
76.04
405
75.86
409
74.62
407
77.61
403
82.20
409
75.97
400
80.50
403
72.45
396
68.06
394
84.65
414
81.90
414
52.11
401
79.97
404
76.71
408
70.85
403
79.47
414
UNDER WATERtwo views76.36
409
79.65
409
88.23
409
84.62
412
67.01
405
77.90
408
78.03
411
67.43
395
72.64
399
75.52
401
71.49
397
85.52
409
82.57
408
70.68
400
75.48
410
79.61
410
54.01
402
86.59
415
84.76
414
72.44
406
72.94
411
WAO-8two views77.20
410
78.94
406
67.39
387
86.73
414
72.82
411
79.98
412
69.63
405
77.88
410
88.66
414
83.17
411
86.77
411
85.56
410
85.20
412
72.63
402
69.82
405
75.00
406
55.65
403
87.92
417
83.63
412
71.60
404
64.97
404
Venustwo views77.20
410
78.94
406
67.39
387
86.73
414
72.82
411
79.98
412
69.63
405
77.88
410
88.66
414
83.17
411
86.77
411
85.56
410
85.20
412
72.63
402
69.82
405
75.00
406
55.65
403
87.92
417
83.63
412
71.61
405
64.97
404
HanzoNettwo views77.99
412
81.45
413
83.64
404
78.05
404
69.26
408
75.78
404
69.09
403
73.99
406
78.09
404
82.39
410
83.06
407
85.66
412
87.00
415
86.11
415
74.40
409
85.46
418
68.53
411
81.84
408
75.61
407
73.07
408
67.26
407
JetRedtwo views79.80
413
80.33
412
91.79
412
71.25
397
75.71
413
91.85
416
80.84
412
79.41
413
80.84
407
84.48
413
84.47
409
83.34
405
72.72
397
79.51
411
85.74
415
69.66
404
81.68
415
73.70
399
72.68
402
82.42
413
73.53
412
Deantwo views80.94
414
86.19
415
83.94
406
85.03
413
60.07
400
75.42
402
67.27
402
81.85
414
88.36
413
92.35
417
87.09
413
92.14
416
93.19
417
83.37
414
74.06
408
68.69
403
66.48
410
94.89
420
84.90
415
83.86
416
69.69
410
SPstereotwo views83.66
415
69.17
397
79.52
401
76.33
400
67.79
406
88.06
415
91.78
416
100.00
426
100.00
426
99.12
422
99.11
422
100.00
429
98.10
421
98.44
422
89.22
416
65.98
401
60.50
407
82.46
410
81.00
410
62.47
396
64.12
403
ASD4two views87.80
416
90.70
417
83.73
405
83.43
411
90.78
418
97.93
419
99.61
424
89.14
416
96.84
420
88.33
416
93.49
416
89.94
413
86.43
414
88.88
416
91.91
417
79.57
409
81.89
416
76.64
401
81.57
411
83.78
415
81.45
415
KSHMRtwo views88.63
417
93.05
418
84.15
408
95.59
419
91.74
419
82.94
414
83.28
414
84.59
415
81.87
408
87.85
414
83.96
408
91.71
415
81.49
406
76.73
408
82.12
413
96.47
421
96.06
421
96.71
421
97.16
421
92.74
421
92.47
421
tttwo views89.84
418
1.21
7
99.99
427
99.29
424
100.00
427
100.00
427
100.00
427
100.00
426
99.99
424
78.46
405
68.51
393
99.99
427
100.00
426
100.00
428
100.00
429
95.27
419
99.93
425
87.33
416
86.20
416
94.13
422
86.50
416
xxxxx1two views91.89
419
95.36
420
98.42
419
87.40
416
89.37
415
98.54
420
98.20
421
92.95
417
93.30
417
93.53
418
95.30
419
97.01
418
96.36
418
94.68
417
94.93
418
83.39
415
84.31
417
82.86
412
88.15
417
84.30
417
89.46
418
tt_lltwo views91.89
419
95.36
420
98.42
419
87.40
416
89.37
415
98.54
420
98.20
421
92.95
417
93.30
417
93.53
418
95.30
419
97.01
418
96.36
418
94.68
417
94.93
418
83.39
415
84.31
417
82.86
412
88.15
417
84.30
417
89.46
418
fftwo views91.89
419
95.36
420
98.42
419
87.40
416
89.37
415
98.54
420
98.20
421
92.95
417
93.30
417
93.53
418
95.30
419
97.01
418
96.36
418
94.68
417
94.93
418
83.39
415
84.31
417
82.86
412
88.15
417
84.30
417
89.46
418
MADNet++two views94.07
422
93.58
419
90.62
411
96.24
420
96.57
420
97.26
418
90.52
415
94.64
420
91.89
416
97.09
421
93.64
417
94.65
417
92.81
416
96.06
420
95.06
421
95.31
420
95.85
420
92.44
419
92.08
420
91.00
420
94.17
423
PMLtwo views99.07
423
100.00
428
98.17
418
99.22
423
99.21
423
99.98
426
99.74
425
98.27
422
98.10
421
100.00
428
99.37
423
98.77
422
99.85
424
100.00
428
98.07
423
100.00
426
99.54
422
100.00
425
99.51
424
99.87
425
93.65
422
MEDIAN_ROBtwo views99.20
424
99.85
423
99.64
424
98.51
422
98.53
422
98.60
423
97.88
420
98.83
423
98.59
422
99.35
425
99.47
424
99.57
423
99.05
423
98.38
421
98.37
424
99.99
424
99.63
423
100.00
425
100.00
426
99.82
424
99.92
425
HaxPigtwo views99.40
425
99.99
425
97.53
417
99.99
426
99.99
425
96.91
417
97.19
418
99.57
424
99.99
424
99.98
427
100.00
426
99.99
427
99.96
425
99.06
423
97.86
422
99.99
424
100.00
427
100.00
425
100.00
426
100.00
426
99.98
426
Anonymous_1two views99.63
426
99.96
424
99.94
426
99.77
425
99.59
424
100.00
427
100.00
427
99.81
425
99.98
423
99.63
426
99.94
425
99.75
424
100.00
426
99.67
424
99.89
425
98.37
423
99.84
424
98.70
423
99.26
423
99.29
423
99.24
424
test_example2two views99.67
427
99.99
425
99.99
427
100.00
427
99.99
425
99.87
425
99.99
426
98.01
421
100.00
426
100.00
428
100.00
426
98.18
421
98.43
422
99.98
425
99.98
426
100.00
426
99.99
426
99.40
424
99.52
425
100.00
426
100.00
427
AVERAGE_ROBtwo views99.81
428
99.99
425
99.44
423
100.00
427
100.00
427
99.02
424
97.81
419
100.00
426
100.00
426
100.00
428
100.00
426
100.00
429
100.00
426
100.00
428
100.00
429
100.00
426
100.00
427
100.00
425
100.00
426
100.00
426
100.00
427
DPSMNet_ROBtwo views99.95
429
100.00
428
100.00
429
100.00
427
100.00
427
100.00
427
100.00
427
100.00
426
100.00
426
99.16
423
100.00
426
99.95
425
100.00
426
99.98
425
99.99
427
100.00
426
100.00
427
100.00
425
100.00
426
100.00
426
100.00
427
DGTPSM_ROBtwo views99.95
429
100.00
428
100.00
429
100.00
427
100.00
427
100.00
427
100.00
427
100.00
426
100.00
426
99.16
423
100.00
426
99.95
425
100.00
426
99.98
425
99.99
427
100.00
426
100.00
427
100.00
425
100.00
426
100.00
426
100.00
427
MyStereo03two views100.00
431
100.00
428
100.00
429
100.00
427
100.00
427
100.00
427
100.00
427
100.00
426
100.00
426
100.00
428
100.00
426
100.00
429
100.00
426
100.00
428
100.00
429
100.00
426
100.00
427
100.00
425
100.00
426
100.00
426
100.00
427
MyStereo02two views100.00
431
100.00
428
100.00
429
100.00
427
100.00
427
100.00
427
100.00
427
100.00
426
100.00
426
100.00
428
100.00
426
100.00
429
100.00
426
100.00
428
100.00
429
100.00
426
100.00
427
100.00
425
100.00
426
100.00
426
100.00
427
MyStereotwo views100.00
431
100.00
428
100.00
429
100.00
427
100.00
427
100.00
427
100.00
427
100.00
426
100.00
426
100.00
428
100.00
426
100.00
429
100.00
426
100.00
428
100.00
429
100.00
426
100.00
427
100.00
425
100.00
426
100.00
426
100.00
427
Selective-RAFT-Errortwo views100.00
431
100.00
428
100.00
429
100.00
427
100.00
427
100.00
427
100.00
427
100.00
426
100.00
426
100.00
428
100.00
426
100.00
429
100.00
426
100.00
428
100.00
429
100.00
426
100.00
427
100.00
425
100.00
426
100.00
426
100.00
427
CasAABBNettwo views100.00
431
100.00
428
100.00
429
100.00
427
100.00
427
100.00
427
100.00
427
100.00
426
100.00
426
100.00
428
100.00
426
100.00
429
100.00
426
100.00
428
100.00
429
100.00
426
100.00
427
100.00
425
100.00
426
100.00
426
100.00
427
LSM0two views100.00
431
100.00
428
100.00
429
100.00
427
100.00
427
100.00
427
100.00
427
100.00
426
100.00
426
100.00
428
100.00
426
100.00
429
100.00
426
100.00
428
100.00
429
100.00
426
100.00
427
100.00
425
100.00
426
100.00
426
100.00
427
DPSM_ROBtwo views100.00
431
100.00
428
100.00
429
100.00
427
100.00
427
100.00
427
100.00
427
100.00
426
100.00
426
100.00
428
100.00
426
100.00
429
100.00
426
100.00
428
100.00
429
100.00
426
100.00
427
100.00
425
100.00
426
100.00
426
100.00
427
DPSMtwo views100.00
431
100.00
428
100.00
429
100.00
427
100.00
427
100.00
427
100.00
427
100.00
426
100.00
426
100.00
428
100.00
426
100.00
429
100.00
426
100.00
428
100.00
429
100.00
426
100.00
427
100.00
425
100.00
426
100.00
426
100.00
427