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 views2.73
1
1.56
103
6.21
50
2.96
4
2.45
145
1.80
3
0.28
4
7.43
4
5.07
11
2.57
1
3.43
2
7.13
48
4.71
52
5.74
7
2.91
56
0.00
1
0.05
75
0.00
1
0.00
1
0.15
41
0.12
45
MIF-Stereotwo views2.89
2
0.90
4
6.74
58
4.08
34
2.42
143
2.63
4
0.42
6
5.57
1
4.88
5
5.36
26
7.63
18
1.09
1
1.47
3
8.80
37
5.11
125
0.03
90
0.07
124
0.00
1
0.01
63
0.48
170
0.11
41
EGLCR-Stereotwo views2.92
3
1.06
15
5.28
24
3.38
12
0.55
30
4.59
18
0.66
9
10.43
18
4.81
4
3.30
6
3.23
1
7.93
56
1.71
8
9.22
46
1.62
7
0.05
102
0.12
165
0.00
1
0.00
1
0.23
78
0.16
76
Selective-IGEVtwo views3.06
4
1.11
25
4.98
18
3.56
24
1.66
115
4.73
20
2.14
78
10.73
25
4.56
3
2.93
2
4.60
6
5.54
36
1.77
9
10.82
70
1.69
8
0.00
1
0.01
9
0.00
1
0.14
184
0.06
6
0.13
53
AEACVtwo views3.17
5
1.11
25
5.39
26
4.55
54
5.35
247
4.29
13
1.60
39
6.21
2
5.43
15
3.08
3
7.85
19
4.23
18
6.55
93
5.51
4
1.56
1
0.00
1
0.09
146
0.03
81
0.32
253
0.20
61
0.12
45
rrrtwo views3.26
6
1.57
106
7.72
96
3.36
10
0.60
37
4.93
35
1.59
38
10.72
24
5.11
14
3.79
12
4.58
4
4.53
25
4.00
28
10.13
52
2.09
25
0.00
1
0.06
107
0.00
1
0.22
213
0.12
31
0.18
83
CroCo-Stereocopylefttwo views3.27
7
1.90
166
7.18
75
8.50
243
1.11
83
0.96
1
0.97
17
10.18
16
8.20
48
3.59
9
4.69
7
8.02
60
4.53
43
2.75
1
2.34
37
0.01
45
0.00
1
0.00
1
0.00
1
0.31
120
0.11
41
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
IGEVStereo-DCAtwo views3.31
8
1.57
106
6.20
45
3.36
10
0.60
37
4.93
35
1.70
44
13.26
50
5.04
6
3.79
12
4.58
4
4.53
25
4.00
28
10.13
52
2.09
25
0.00
1
0.06
107
0.00
1
0.18
198
0.12
31
0.14
58
test_xeample3two views3.34
9
1.54
91
7.67
93
3.33
9
0.68
43
5.74
78
1.63
40
12.05
30
3.88
2
6.71
29
3.81
3
3.17
6
3.34
18
10.59
58
2.07
22
0.00
1
0.02
28
0.00
1
0.27
237
0.13
36
0.16
76
GLC_STEREOtwo views3.40
10
1.06
15
3.44
7
6.52
166
0.20
1
4.76
27
1.66
41
8.97
8
6.59
23
5.39
27
9.04
27
5.23
32
2.03
10
9.76
50
2.77
51
0.01
45
0.03
46
0.21
205
0.00
1
0.23
78
0.06
20
ff7two views3.48
11
1.76
151
6.20
45
3.45
14
1.13
87
5.02
41
1.70
44
13.26
50
5.04
6
4.66
18
5.47
12
3.49
7
4.70
48
11.14
80
2.01
16
0.00
1
0.04
55
0.00
1
0.18
198
0.30
109
0.14
58
fffftwo views3.48
11
1.76
151
6.20
45
3.45
14
1.13
87
5.02
41
1.70
44
13.26
50
5.04
6
4.66
18
5.47
12
3.49
7
4.70
48
11.14
80
2.01
16
0.00
1
0.04
55
0.00
1
0.18
198
0.30
109
0.14
58
11ttwo views3.48
11
1.76
151
6.20
45
3.45
14
1.13
87
5.02
41
1.70
44
13.26
50
5.04
6
4.66
18
5.47
12
3.49
7
4.70
48
11.14
80
2.01
16
0.00
1
0.04
55
0.00
1
0.18
198
0.30
109
0.14
58
ccc-4two views3.48
11
1.76
151
6.20
45
3.45
14
1.13
87
5.02
41
1.70
44
13.26
50
5.04
6
4.66
18
5.47
12
3.49
7
4.70
48
11.14
80
2.01
16
0.00
1
0.04
55
0.00
1
0.18
198
0.30
109
0.14
58
anonymousdsptwo views3.51
15
1.75
147
5.66
34
3.49
18
1.13
87
5.04
45
1.74
55
13.69
58
5.07
11
4.83
22
5.42
10
4.25
19
4.44
40
11.14
80
1.98
14
0.00
1
0.04
55
0.00
1
0.18
198
0.31
120
0.13
53
IGEV-Stereopermissivetwo views3.52
16
1.75
147
5.67
35
3.49
18
1.12
85
5.04
45
1.73
54
13.70
59
5.07
11
4.83
22
5.42
10
4.27
20
4.43
39
11.15
85
1.98
14
0.00
1
0.04
55
0.00
1
0.18
198
0.31
120
0.12
45
Gangwei Xu, Xianqi Wang, Xiaohuan Ding, Xin Yang: Iterative Geometry Encoding Volume for Stereo Matching. CVPR 2023
CREStereotwo views3.58
17
1.05
14
3.35
5
2.17
2
0.59
34
5.61
64
0.40
5
10.50
19
13.34
95
6.93
31
10.44
39
5.29
34
3.47
21
5.82
8
2.62
48
0.01
45
0.01
9
0.02
70
0.01
63
0.04
3
0.01
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 views3.59
18
1.07
19
3.81
9
2.80
3
0.52
28
4.98
39
1.18
23
10.35
17
12.97
88
4.54
16
10.75
42
3.89
15
3.27
17
8.78
36
2.63
49
0.03
90
0.03
46
0.09
128
0.00
1
0.12
31
0.04
10
ProNettwo views3.61
19
1.91
169
6.17
44
3.31
8
0.67
42
5.51
56
6.46
209
12.60
41
6.23
21
3.18
4
4.80
8
3.64
11
3.57
23
11.15
85
2.11
28
0.02
76
0.21
209
0.01
60
0.01
63
0.41
155
0.14
58
LoS_RVCtwo views3.72
20
2.57
222
3.90
10
4.27
44
7.61
306
5.39
54
2.90
111
7.29
3
3.84
1
3.67
11
10.20
36
3.66
12
4.48
41
6.19
11
2.14
31
0.01
45
0.03
46
0.00
1
0.00
1
0.06
6
6.15
327
CEStwo views3.85
21
1.14
29
2.91
1
3.05
6
11.37
339
5.37
53
1.02
20
9.52
12
8.82
55
3.50
8
9.21
29
1.78
2
0.90
1
6.53
13
2.37
39
0.02
76
0.04
55
0.01
60
0.00
1
1.62
263
7.74
348
CASnettwo views3.91
22
1.03
13
4.68
15
4.98
72
0.27
7
4.99
40
2.95
112
11.02
27
11.02
67
10.61
56
11.76
49
4.15
17
1.65
6
5.85
9
1.91
11
0.50
231
0.00
1
0.59
254
0.12
177
0.13
36
0.02
7
Junhong Min, Youngpil Jeon: Confidence Aware Stereo Matching for Realistic Cluttered Scenario. ICIP 2024 submissions (1861)
MC-Stereotwo views3.99
23
0.95
5
4.70
16
5.09
77
0.44
23
3.77
11
1.79
61
9.86
15
7.05
37
6.34
28
13.35
58
6.83
43
6.34
90
10.80
68
1.75
9
0.00
1
0.11
161
0.06
111
0.24
228
0.12
31
0.14
58
CroCo-Stereo Lap2two views4.01
24
2.03
190
8.14
114
9.82
274
6.03
267
1.11
2
0.79
13
9.71
14
7.98
45
3.26
5
4.99
9
9.08
70
5.80
73
6.08
10
4.39
106
0.00
1
0.05
75
0.00
1
0.00
1
0.71
216
0.30
138
test crocotwo views4.15
25
1.67
127
9.97
191
4.86
67
2.97
163
3.27
7
1.41
30
8.20
6
5.51
17
3.37
7
16.69
80
3.03
4
2.71
14
14.44
189
3.91
90
0.14
135
0.00
1
0.03
81
0.01
63
0.69
211
0.14
58
MIF-Stereo (partial)two views4.33
26
1.23
35
7.27
81
5.04
74
5.31
246
3.47
9
0.95
16
9.06
9
7.41
40
4.15
14
15.76
71
5.38
35
5.22
57
11.56
100
4.21
101
0.04
96
0.02
28
0.05
100
0.03
99
0.34
134
0.12
45
XX-TBDtwo views4.45
27
10.67
324
3.01
2
10.28
288
0.57
32
5.84
82
0.07
1
7.57
5
12.24
79
11.43
62
14.74
64
4.07
16
1.66
7
4.51
3
2.05
21
0.01
45
0.01
9
0.00
1
0.00
1
0.26
93
0.01
1
CREStereo++_RVCtwo views4.61
28
0.99
8
3.70
8
4.08
34
2.01
131
3.94
12
0.10
2
9.10
10
16.94
130
8.65
43
16.77
82
4.46
21
2.18
11
5.72
6
3.12
66
0.00
1
0.00
1
0.00
1
10.32
363
0.02
1
0.01
1
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
iRaftStereo_RVCtwo views4.68
29
1.51
86
6.89
66
4.91
71
0.72
56
5.26
51
0.46
7
17.60
113
10.47
62
9.53
48
15.13
67
5.75
37
3.24
16
8.93
39
2.22
34
0.00
1
0.09
146
0.00
1
0.00
1
0.46
161
0.41
158
TANstereotwo views4.70
30
1.08
20
4.01
11
3.53
23
0.47
24
14.26
199
0.15
3
8.67
7
12.54
81
12.50
71
18.43
96
5.20
31
4.54
44
5.68
5
2.07
22
0.00
1
0.13
169
0.00
1
0.01
63
0.02
1
0.63
195
MSKI-zero shottwo views4.76
31
1.56
103
5.98
38
5.14
87
1.13
87
6.55
104
1.55
36
12.76
43
8.06
46
10.44
55
11.50
47
13.47
131
2.38
13
12.07
126
1.90
10
0.01
45
0.20
203
0.02
70
0.29
243
0.14
39
0.14
58
sCroCo_RVCtwo views5.06
32
3.29
245
16.45
276
10.72
294
6.64
280
5.83
80
2.74
105
9.67
13
8.06
46
3.66
10
9.20
28
4.81
29
4.95
54
8.12
26
4.64
110
0.64
254
0.50
283
0.06
111
0.03
99
0.70
214
0.42
160
4D-IteraStereotwo views5.15
33
1.47
73
7.98
107
4.89
70
4.69
217
6.25
92
1.85
64
13.23
49
16.30
122
14.18
104
11.26
45
8.33
61
1.61
4
8.07
25
2.42
40
0.00
1
0.05
75
0.08
122
0.01
63
0.19
59
0.15
72
CAStwo views5.20
34
0.78
1
3.30
4
17.06
340
7.59
305
8.07
127
6.31
199
9.46
11
9.09
56
4.57
17
10.67
41
1.91
3
1.22
2
4.18
2
2.16
32
10.33
357
0.02
28
0.00
1
0.02
84
0.44
159
6.83
336
test_1two views5.20
34
1.06
15
7.72
96
4.21
40
0.59
34
6.69
105
3.03
114
12.98
45
17.51
138
12.35
69
8.66
22
13.20
122
4.12
31
9.00
42
2.11
28
0.00
1
0.05
75
0.00
1
0.32
253
0.25
85
0.18
83
test-3two views5.21
36
1.06
15
7.71
95
4.19
38
0.59
34
6.72
108
3.01
113
12.96
44
17.49
137
12.53
79
8.65
20
13.20
122
4.14
32
9.00
42
2.11
28
0.00
1
0.05
75
0.00
1
0.32
253
0.25
85
0.18
83
EAI-Stereotwo views5.21
36
1.74
138
8.46
130
5.69
116
1.37
105
5.67
77
3.52
126
18.77
133
5.65
18
9.75
49
16.08
74
6.36
39
3.57
23
11.73
111
3.64
77
0.01
45
0.33
253
0.03
81
1.06
304
0.21
63
0.65
202
tt1two views5.27
38
1.99
179
5.11
23
6.02
142
0.26
2
10.59
148
4.22
146
18.45
127
16.31
123
6.75
30
8.95
26
4.75
28
9.15
136
10.82
70
1.61
5
0.00
1
0.05
75
0.00
1
0.04
112
0.26
93
0.14
58
ACVNet-DCAtwo views5.28
39
2.00
180
4.99
19
5.89
129
0.26
2
10.85
152
5.38
168
20.20
146
11.88
74
6.95
32
10.01
31
4.49
22
9.78
150
10.79
65
1.59
2
0.00
1
0.05
75
0.00
1
0.04
112
0.25
85
0.20
93
IGEV_Zeroshot_testtwo views5.28
39
2.03
190
14.26
256
6.09
146
1.33
101
4.32
14
1.03
21
14.46
66
6.50
22
13.33
98
11.89
50
11.01
83
3.45
19
10.71
63
3.64
77
0.03
90
0.22
214
0.15
178
0.26
233
0.80
226
0.20
93
RCA-Stereotwo views5.32
41
1.08
20
5.91
37
4.29
47
0.51
26
5.65
67
4.12
142
16.97
106
18.67
149
8.27
38
14.16
60
8.86
66
8.90
133
6.45
12
2.18
33
0.00
1
0.07
124
0.10
144
0.00
1
0.10
26
0.07
23
cc1two views5.34
42
2.00
180
4.99
19
5.89
129
0.26
2
10.85
152
5.38
168
17.85
119
15.48
114
6.95
32
10.01
31
4.49
22
9.78
150
10.79
65
1.59
2
0.00
1
0.05
75
0.00
1
0.04
112
0.30
109
0.13
53
PMTNettwo views5.36
43
0.97
6
3.42
6
1.97
1
1.30
99
8.96
131
0.69
11
12.33
32
12.16
78
8.50
41
11.35
46
6.09
38
4.50
42
9.34
48
2.70
50
22.71
372
0.01
9
0.04
94
0.02
84
0.06
6
0.01
1
cross-rafttwo views5.37
44
1.23
35
6.66
56
5.91
133
1.25
97
6.00
88
1.48
31
15.82
92
7.70
42
12.95
88
20.80
129
11.63
92
4.42
37
8.59
29
2.23
35
0.01
45
0.21
209
0.00
1
0.22
213
0.21
63
0.10
35
HHtwo views5.47
45
2.08
194
9.00
150
4.88
68
1.07
81
4.93
35
3.60
133
16.68
104
6.83
25
8.39
39
12.14
51
15.05
150
9.06
134
12.68
148
1.93
12
0.02
76
0.17
190
0.18
189
0.00
1
0.28
104
0.48
171
HanStereotwo views5.47
45
2.08
194
9.00
150
4.88
68
1.07
81
4.93
35
3.60
133
16.68
104
6.83
25
8.39
39
12.14
51
15.05
150
9.06
134
12.68
148
1.93
12
0.02
76
0.17
190
0.18
189
0.00
1
0.28
104
0.48
171
test_4two views5.47
45
0.98
7
5.56
32
6.55
169
0.62
39
5.53
57
1.88
65
11.68
28
6.00
19
12.60
82
30.86
226
7.48
53
3.87
25
12.25
134
2.97
59
0.00
1
0.07
124
0.03
81
0.14
184
0.34
134
0.04
10
HUI-Stereotwo views5.48
48
1.74
138
9.01
152
5.08
76
0.42
18
5.65
67
2.77
107
12.55
40
7.03
36
12.54
81
18.10
90
13.07
120
6.71
95
9.92
51
3.74
82
0.61
248
0.08
138
0.09
128
0.00
1
0.22
66
0.23
113
RAFT-Stereo + iAFFtwo views5.48
48
1.66
126
7.56
90
3.49
18
0.40
13
2.75
5
0.67
10
16.07
97
14.76
107
12.27
67
18.67
98
11.95
101
8.08
120
7.84
24
2.89
53
0.01
45
0.06
107
0.00
1
0.00
1
0.37
144
0.04
10
ROB_FTStereotwo views5.49
50
1.74
138
8.96
147
5.09
77
0.42
18
5.65
67
1.68
42
12.53
39
7.00
29
12.53
79
18.00
87
13.02
116
6.74
97
11.51
97
3.81
86
0.60
245
0.09
146
0.09
128
0.00
1
0.22
66
0.22
106
PSM-adaLosstwo views5.50
51
1.74
138
9.03
156
5.09
77
0.42
18
5.66
72
1.98
72
12.50
34
7.01
34
12.52
73
18.13
93
12.96
112
6.77
101
11.11
78
3.83
87
0.72
260
0.09
146
0.09
128
0.00
1
0.22
66
0.22
106
ROB_FTStereo_v2two views5.53
52
1.74
138
8.97
149
5.09
77
0.42
18
5.64
66
2.02
73
12.50
34
7.00
29
12.51
72
18.10
90
12.99
113
6.72
96
11.50
96
4.04
99
0.70
256
0.09
146
0.09
128
0.00
1
0.22
66
0.23
113
CRE-IMPtwo views5.53
52
1.63
123
9.62
177
5.65
113
0.48
25
7.02
115
1.70
44
11.84
29
8.33
50
12.99
90
16.02
73
11.08
85
6.23
83
12.06
124
5.06
124
0.28
184
0.07
124
0.09
128
0.00
1
0.24
83
0.21
100
RAFT-IKPtwo views5.53
52
1.74
138
8.95
145
5.09
77
0.41
14
5.45
55
2.08
77
12.52
36
7.00
29
12.52
73
18.13
93
12.93
111
6.79
102
11.59
104
3.99
94
0.80
268
0.09
146
0.09
128
0.00
1
0.22
66
0.22
106
LL-Strereo2two views5.54
55
2.17
202
9.12
161
5.65
113
2.54
148
6.48
100
2.27
85
15.08
74
7.79
44
10.99
60
10.26
37
15.94
162
3.50
22
13.25
170
3.63
76
0.00
1
0.13
169
1.34
301
0.10
167
0.30
109
0.19
90
iGMRVCtwo views5.54
55
1.74
138
9.01
152
5.09
77
0.42
18
5.66
72
1.81
62
12.61
42
7.02
35
12.52
73
18.11
92
13.02
116
6.64
94
11.57
101
4.16
100
0.82
270
0.09
146
0.09
128
0.00
1
0.22
66
0.21
100
Gwc-CoAtRStwo views5.54
55
1.22
33
8.40
124
4.28
45
1.36
104
6.93
113
1.31
26
15.48
82
15.03
109
12.62
83
13.32
57
12.74
109
5.71
72
8.61
30
2.98
60
0.01
45
0.22
214
0.00
1
0.29
243
0.28
104
0.07
23
test_3two views5.55
58
1.02
10
8.07
111
6.18
150
0.54
29
9.00
132
3.28
117
13.55
56
18.66
148
11.97
64
8.89
25
13.98
136
4.05
30
8.96
40
2.10
27
0.00
1
0.05
75
0.00
1
0.31
250
0.26
93
0.18
83
CFNet-RSSMtwo views5.55
58
1.08
20
8.60
137
4.30
48
1.21
96
6.42
99
1.25
25
16.12
98
17.84
141
13.12
91
11.14
44
11.84
97
5.52
62
9.14
45
2.35
38
0.01
45
0.20
203
0.00
1
0.36
260
0.34
134
0.07
23
Patchmatch Stereo++two views5.56
60
1.74
138
9.01
152
5.09
77
0.41
14
5.66
72
2.40
90
12.52
36
7.00
29
12.52
73
18.08
88
13.02
116
6.74
97
11.59
104
4.01
96
0.78
264
0.09
146
0.09
128
0.00
1
0.22
66
0.22
106
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 views5.56
60
1.74
138
9.01
152
5.09
77
0.41
14
5.66
72
2.40
90
12.52
36
7.00
29
12.52
73
18.08
88
13.02
116
6.74
97
11.59
104
4.01
96
0.78
264
0.09
146
0.09
128
0.00
1
0.22
66
0.22
106
raftrobusttwo views5.56
60
1.42
60
6.00
39
7.04
194
5.11
235
4.90
34
1.88
65
17.13
109
13.72
97
11.87
63
11.58
48
7.82
54
9.21
137
10.28
54
2.92
57
0.02
76
0.05
75
0.00
1
0.00
1
0.22
66
0.11
41
1test111two views5.59
63
2.00
180
4.99
19
5.89
129
0.26
2
10.85
152
5.38
168
20.20
146
11.88
74
6.95
32
10.01
31
4.49
22
9.78
150
11.09
76
7.45
167
0.00
1
0.05
75
0.00
1
0.04
112
0.25
85
0.20
93
test-1two views5.62
64
1.53
89
14.78
264
7.44
212
1.11
83
7.99
126
1.19
24
13.03
47
12.04
77
9.39
47
15.23
68
11.15
88
5.56
64
7.06
18
3.57
74
0.07
116
0.50
283
0.00
1
0.10
167
0.16
46
0.47
168
DeepStereo_RVCtwo views5.65
65
1.65
124
9.06
158
5.21
98
0.56
31
5.55
62
1.84
63
12.16
31
7.22
38
13.94
101
14.96
65
12.58
106
10.27
157
11.25
89
5.81
144
0.39
210
0.10
156
0.11
155
0.00
1
0.18
55
0.22
106
EKT-Stereotwo views5.73
66
1.42
60
7.85
100
7.16
200
5.35
247
5.22
49
4.41
149
18.13
125
14.05
99
8.77
44
12.85
55
9.55
75
4.26
34
11.19
87
2.45
45
0.45
222
0.23
219
0.07
119
0.10
167
0.16
46
0.87
230
NRIStereotwo views5.73
66
1.67
127
8.42
126
5.72
122
0.41
14
6.71
107
2.60
100
14.73
71
10.71
66
12.39
70
15.07
66
11.58
91
6.23
83
12.06
124
4.78
114
0.61
248
0.17
190
0.11
155
0.00
1
0.28
104
0.27
129
RAFT-Testtwo views5.75
68
1.32
50
6.77
61
4.07
33
1.71
118
9.95
136
1.56
37
15.78
91
8.34
52
12.73
86
23.83
156
11.80
95
4.69
47
8.99
41
2.57
47
0.01
45
0.29
242
0.00
1
0.38
265
0.16
46
0.07
23
Selective-RAFTtwo views5.78
69
0.83
2
10.24
197
6.70
180
0.72
56
15.49
219
1.13
22
13.82
64
15.41
113
6.97
36
6.97
17
11.63
92
8.27
123
12.32
136
4.73
112
0.10
125
0.01
9
0.00
1
0.26
233
0.07
11
0.03
8
11t1two views5.86
70
1.10
24
7.74
98
5.18
94
1.44
106
13.82
192
2.36
88
14.92
73
7.26
39
12.98
89
11.10
43
11.24
89
9.30
138
11.59
104
6.54
154
0.10
125
0.16
188
0.00
1
0.01
63
0.18
55
0.23
113
s12784htwo views5.87
71
0.88
3
4.11
12
3.01
5
0.51
26
18.49
255
0.98
18
18.89
135
17.60
139
12.52
73
12.46
53
7.87
55
5.01
55
11.05
75
3.13
68
0.73
262
0.01
9
0.04
94
0.00
1
0.07
11
0.01
1
anonymousdsp2two views5.93
72
1.54
91
8.34
119
4.43
49
0.38
12
9.24
133
4.11
140
21.92
170
17.36
135
12.28
68
10.08
35
10.05
77
4.42
37
11.04
74
2.54
46
0.01
45
0.02
28
0.30
230
0.18
198
0.21
63
0.18
83
GMStereopermissivetwo views5.94
73
3.84
259
10.86
212
5.13
86
0.71
48
7.27
117
2.66
103
12.38
33
25.14
204
12.01
66
10.66
40
5.12
30
3.46
20
11.39
92
6.16
151
0.45
222
0.02
28
0.05
100
0.31
250
0.86
230
0.25
124
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger: Unifying Flow, Stereo and Depth Estimation. TPAMI 2023
RALCasStereoNettwo views5.95
74
2.02
188
7.09
74
7.06
195
5.10
234
6.36
98
5.44
173
13.97
65
13.25
93
9.93
51
17.45
83
10.37
79
3.89
26
11.64
109
4.24
103
0.02
76
0.46
276
0.10
144
0.00
1
0.20
61
0.31
141
GMOStereotwo views5.97
75
1.55
94
7.18
75
5.17
89
0.71
48
5.54
58
2.21
79
10.54
20
12.86
84
18.29
191
22.01
136
17.06
173
6.27
85
6.62
14
2.43
41
0.00
1
0.23
219
0.12
158
0.00
1
0.46
161
0.10
35
error versiontwo views5.97
75
1.55
94
7.18
75
5.17
89
0.71
48
5.54
58
2.21
79
10.54
20
12.86
84
18.29
191
22.01
136
17.06
173
6.27
85
6.62
14
2.43
41
0.00
1
0.23
219
0.12
158
0.00
1
0.46
161
0.10
35
test-vtwo views5.97
75
1.55
94
7.18
75
5.17
89
0.71
48
5.54
58
2.21
79
10.54
20
12.86
84
18.29
191
22.01
136
17.06
173
6.27
85
6.62
14
2.43
41
0.00
1
0.23
219
0.12
158
0.00
1
0.46
161
0.10
35
test-2two views5.97
75
1.55
94
7.18
75
5.17
89
0.71
48
5.54
58
2.21
79
10.54
20
12.86
84
18.29
191
22.01
136
17.06
173
6.27
85
6.62
14
2.43
41
0.00
1
0.23
219
0.12
158
0.00
1
0.46
161
0.10
35
xx1two views5.99
79
2.00
180
4.99
19
5.89
129
0.26
2
10.85
152
5.38
168
17.84
117
15.48
114
6.95
32
10.01
31
16.02
163
11.15
171
10.79
65
1.59
2
0.00
1
0.05
75
0.02
70
0.05
126
0.25
85
0.20
93
rafts_anoytwo views6.02
80
1.67
127
6.27
51
6.53
167
4.98
228
5.30
52
2.53
96
13.77
63
21.01
161
12.70
85
16.23
76
8.56
64
5.65
70
9.09
44
5.22
129
0.04
96
0.31
246
0.09
128
0.03
99
0.25
85
0.17
80
TestStereotwo views6.02
80
2.55
221
7.33
88
5.57
109
1.68
117
6.05
90
1.78
60
13.73
60
16.40
127
10.87
59
23.79
155
9.00
68
5.63
69
11.26
90
3.96
92
0.09
121
0.01
9
0.00
1
0.00
1
0.69
211
0.01
1
Any-RAFTtwo views6.04
82
1.16
30
4.52
14
4.47
50
1.20
95
10.46
143
1.97
71
21.84
166
15.52
116
11.21
61
19.37
104
13.34
125
4.72
53
8.65
34
2.03
20
0.01
45
0.19
199
0.00
1
0.00
1
0.04
3
0.08
27
iRaft-Stereo_20wtwo views6.06
83
1.84
161
12.04
226
4.23
41
1.67
116
6.77
110
2.22
83
18.73
132
6.08
20
14.72
109
10.33
38
13.42
130
8.14
121
15.88
209
3.08
65
0.01
45
0.24
230
0.13
169
0.39
267
0.61
199
0.71
212
DCREtwo views6.07
84
1.75
147
8.41
125
7.20
201
3.82
186
6.48
100
4.18
145
15.52
84
10.42
61
9.24
46
22.47
146
11.71
94
5.46
61
10.62
59
3.02
62
0.02
76
0.26
238
0.05
100
0.30
247
0.15
41
0.24
119
XX-Stereotwo views6.14
85
1.47
73
9.11
160
11.87
309
6.76
285
3.27
7
0.93
15
15.13
76
5.43
15
8.79
45
28.46
197
13.71
134
2.22
12
11.51
97
2.07
22
0.20
159
0.24
230
0.08
122
0.29
243
1.04
239
0.13
53
AFF-stereotwo views6.17
86
1.61
118
7.02
71
4.08
34
0.64
40
3.53
10
0.76
12
16.00
96
13.14
90
12.86
87
25.42
169
15.67
159
7.86
115
11.12
79
3.21
70
0.02
76
0.06
107
0.00
1
0.00
1
0.40
152
0.08
27
knoymoustwo views6.19
87
1.49
80
4.49
13
3.81
30
1.87
125
5.84
82
5.76
181
14.51
68
14.18
101
13.31
97
21.59
134
12.64
107
6.49
91
12.41
141
4.03
98
0.12
130
0.13
169
0.12
158
0.00
1
0.71
216
0.35
146
TRStereotwo views6.22
88
6.09
290
11.30
215
9.19
256
7.41
301
4.75
26
1.74
55
19.70
140
11.74
73
10.61
56
8.65
20
10.67
80
3.22
15
13.81
179
3.60
75
0.31
190
0.23
219
0.12
158
0.36
260
0.48
170
0.38
148
AnonymousMtwo views6.33
89
11.42
330
3.06
3
3.93
31
1.49
111
4.54
15
3.29
118
11.00
26
7.70
42
16.52
154
9.38
30
9.07
69
3.97
27
7.10
19
3.01
61
0.43
219
0.07
124
22.69
365
7.67
355
0.06
6
0.21
100
DCANet-4two views6.41
90
1.02
10
9.66
179
3.41
13
0.68
43
4.73
20
1.70
44
17.70
115
24.33
197
15.10
119
20.25
117
6.45
40
8.65
127
8.47
28
5.31
133
0.01
45
0.04
55
0.00
1
0.00
1
0.09
16
0.63
195
riskmintwo views6.42
91
1.29
43
6.76
60
3.95
32
2.25
137
10.49
144
2.53
96
15.11
75
17.60
139
9.77
50
12.91
56
15.25
155
12.04
186
11.58
102
5.11
125
0.14
135
0.24
230
0.13
169
0.03
99
0.61
199
0.69
207
DisPMtwo views6.43
92
1.31
48
8.36
120
6.61
175
1.06
80
5.83
80
3.82
137
13.04
48
11.63
72
16.38
150
23.88
158
12.80
110
6.50
92
13.03
168
3.04
63
0.51
234
0.01
9
0.08
122
0.15
190
0.10
26
0.42
160
DCANettwo views6.46
93
1.59
110
7.28
82
3.51
22
0.68
43
4.77
30
1.75
58
15.33
79
23.62
188
15.55
132
20.73
128
7.31
51
11.56
182
8.83
38
5.26
131
0.00
1
0.05
75
0.00
1
0.00
1
0.26
93
1.11
248
RALAANettwo views6.49
94
2.49
219
9.69
185
7.09
196
4.98
228
6.23
91
1.68
42
19.90
144
14.26
102
15.04
118
14.56
62
12.69
108
4.38
36
12.91
158
3.07
64
0.02
76
0.07
124
0.00
1
0.10
167
0.51
182
0.15
72
Pruner-Stereotwo views6.59
95
1.51
86
8.71
138
6.34
155
0.85
65
5.66
72
4.15
143
13.74
61
11.02
67
18.11
187
22.09
141
15.86
161
5.80
73
11.75
113
5.15
127
0.60
245
0.02
28
0.18
189
0.10
167
0.07
11
0.16
76
sAnonymous2two views6.59
95
6.21
292
19.05
293
8.91
246
5.27
243
4.58
16
6.69
215
15.56
85
11.12
70
4.86
24
8.71
23
3.81
13
7.93
116
7.38
20
2.89
53
0.09
121
0.07
124
0.05
100
0.28
240
11.25
352
7.10
341
CroCo_RVCtwo views6.59
95
6.21
292
19.05
293
8.91
246
5.27
243
4.58
16
6.69
215
15.56
85
11.12
70
4.86
24
8.71
23
3.81
13
7.93
116
7.38
20
2.89
53
0.09
121
0.07
124
0.05
100
0.28
240
11.25
352
7.10
341
SST-Stereotwo views6.60
98
1.46
71
8.37
121
6.68
178
0.77
61
6.01
89
1.93
70
14.68
70
9.24
58
19.09
205
20.43
122
16.86
171
8.59
126
13.49
173
3.80
85
0.22
165
0.05
75
0.13
169
0.00
1
0.08
14
0.05
13
PSM-softLosstwo views6.61
99
1.60
114
9.42
171
6.48
162
0.88
67
5.65
67
2.04
75
22.64
174
8.77
53
13.95
102
22.11
143
13.01
114
5.22
57
12.73
151
6.05
146
0.49
229
0.06
107
0.27
219
0.56
282
0.16
46
0.06
20
KMStereotwo views6.61
99
1.60
114
9.42
171
6.48
162
0.88
67
5.65
67
2.04
75
22.64
174
8.77
53
13.95
102
22.11
143
13.01
114
5.22
57
12.73
151
6.05
146
0.49
229
0.06
107
0.27
219
0.56
282
0.16
46
0.06
20
ADStereo(finetuned)two views6.68
101
1.59
110
9.70
186
3.49
18
0.68
43
4.79
31
1.75
58
15.33
79
23.64
189
15.56
133
20.68
123
7.30
50
13.85
214
8.71
35
5.17
128
0.00
1
0.05
75
0.00
1
0.00
1
0.25
85
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244
PFNet+two views6.68
101
1.40
57
9.60
176
5.64
112
0.85
65
5.79
79
1.74
55
13.63
57
15.30
112
17.88
180
21.38
133
14.52
143
6.07
78
12.74
153
4.89
121
0.63
252
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203
0.11
155
0.30
247
0.05
5
0.91
233
raft+_RVCtwo views6.69
103
1.61
118
5.57
33
6.37
156
4.62
215
6.51
103
6.18
197
20.39
153
23.38
186
10.62
58
17.82
86
9.89
76
5.65
70
10.70
62
3.67
80
0.00
1
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179
0.00
1
0.00
1
0.34
134
0.27
129
NF-Stereotwo views6.72
104
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110
8.93
141
6.60
173
0.73
60
6.27
94
3.38
120
20.21
152
18.01
144
13.22
96
19.46
108
11.82
96
6.16
79
12.39
140
4.74
113
0.33
193
0.06
107
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200
0.23
221
0.08
14
0.05
13
RE-Stereotwo views6.73
105
1.58
108
8.94
143
6.59
170
0.71
48
6.27
94
3.51
124
20.20
146
17.99
142
13.21
93
19.46
108
11.94
99
6.20
81
12.34
137
4.79
117
0.34
197
0.05
75
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200
0.23
221
0.09
16
0.05
13
TVStereotwo views6.73
105
1.58
108
8.94
143
6.59
170
0.71
48
6.27
94
3.51
124
20.20
146
17.99
142
13.21
93
19.46
108
11.94
99
6.20
81
12.34
137
4.79
117
0.34
197
0.05
75
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200
0.23
221
0.09
16
0.05
13
Anonymoustwo views6.73
105
2.83
231
18.61
290
11.88
310
7.83
310
14.52
206
9.37
246
14.49
67
10.15
59
4.28
15
6.89
16
3.13
5
7.67
110
11.82
115
5.66
141
0.83
272
0.35
257
0.08
122
0.20
209
2.86
291
1.09
247
OCTAStereotwo views6.74
108
1.59
110
8.96
147
6.60
173
0.72
56
6.25
92
3.50
122
20.20
146
18.03
145
13.21
93
19.45
106
12.07
105
6.16
79
12.36
139
4.78
114
0.35
200
0.06
107
0.20
200
0.23
221
0.09
16
0.05
13
DIP-Stereotwo views6.74
108
1.93
174
10.02
195
4.28
45
1.64
114
13.54
188
1.52
33
15.16
77
6.63
24
14.30
106
26.81
185
10.90
82
5.19
56
14.78
196
7.56
170
0.00
1
0.06
107
0.05
100
0.00
1
0.17
53
0.17
80
Zihua Zheng, Ni Nie, Zhi Ling, Pengfei Xiong, Jiangyu Liu, Hao Wang, Jiankun Li: DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow. cvpr2022
MIPNettwo views6.75
110
1.67
127
12.34
228
4.67
59
1.47
107
10.01
137
2.24
84
26.43
212
17.22
131
14.72
109
12.75
54
7.02
47
9.68
149
8.44
27
5.26
131
0.01
45
0.04
55
0.05
100
0.09
161
0.35
138
0.55
182
RAFT-345two views6.79
111
1.29
43
6.80
63
5.06
75
0.91
71
5.61
64
3.32
119
13.36
55
10.17
60
13.73
100
43.66
331
9.12
71
5.38
60
12.29
135
4.44
107
0.32
191
0.05
75
0.09
128
0.06
140
0.06
6
0.03
8
xtwo views6.80
112
1.36
55
6.94
68
4.58
58
1.88
126
10.78
150
4.55
152
19.79
143
10.62
63
12.69
84
19.54
111
14.87
149
10.11
155
9.52
49
8.03
180
0.07
116
0.15
182
0.04
94
0.04
112
0.24
83
0.22
106
ffftwo views6.83
113
1.55
94
7.28
82
3.56
24
0.32
8
4.73
20
1.70
44
15.75
88
31.87
251
15.11
120
20.25
117
6.90
44
12.80
194
8.63
31
5.33
134
0.01
45
0.04
55
0.00
1
0.00
1
0.09
16
0.63
195
csctwo views6.83
113
1.55
94
7.28
82
3.56
24
0.32
8
4.73
20
1.70
44
15.75
88
31.87
251
15.11
120
20.25
117
6.90
44
12.80
194
8.63
31
5.33
134
0.01
45
0.04
55
0.00
1
0.00
1
0.09
16
0.63
195
cscssctwo views6.83
113
1.55
94
7.28
82
3.56
24
0.32
8
4.73
20
1.70
44
15.75
88
31.87
251
15.11
120
20.25
117
6.90
44
12.80
194
8.63
31
5.33
134
0.01
45
0.04
55
0.00
1
0.00
1
0.09
16
0.63
195
RAFT_R40two views6.91
116
1.53
89
8.45
129
6.79
186
0.77
61
5.86
86
3.82
137
14.85
72
14.53
106
18.05
186
20.03
115
17.06
173
8.69
128
13.40
172
3.84
88
0.14
135
0.02
28
0.14
173
0.00
1
0.09
16
0.05
13
OMP-Stereotwo views6.93
117
2.57
222
9.03
156
10.63
292
1.72
119
4.89
33
1.91
68
17.84
117
15.56
117
16.69
159
14.16
60
17.70
190
7.33
106
12.93
159
4.83
120
0.24
174
0.03
46
0.06
111
0.02
84
0.19
59
0.39
151
qqqtwo views6.96
118
1.40
57
8.15
115
4.50
51
1.03
76
8.55
130
6.93
222
20.20
146
11.88
74
12.00
65
18.19
95
16.02
163
11.15
171
11.09
76
7.45
167
0.06
112
0.13
169
0.02
70
0.05
126
0.25
85
0.20
93
MIM_Stereotwo views7.02
119
1.55
94
10.78
209
4.17
37
0.58
33
5.25
50
1.32
28
19.03
136
12.59
83
16.74
160
28.83
200
13.20
122
5.53
63
12.89
156
7.11
160
0.00
1
0.23
219
0.00
1
0.01
63
0.38
149
0.28
132
R-Stereo Traintwo views7.04
120
1.34
52
7.89
102
6.23
151
2.30
139
7.51
119
5.54
175
23.96
184
6.94
27
16.26
147
33.57
268
12.04
103
5.61
65
7.67
22
3.74
82
0.01
45
0.05
75
0.01
60
0.00
1
0.10
26
0.12
45
RAFT-Stereopermissivetwo views7.04
120
1.34
52
7.89
102
6.23
151
2.30
139
7.51
119
5.54
175
23.96
184
6.94
27
16.26
147
33.57
268
12.04
103
5.61
65
7.67
22
3.74
82
0.01
45
0.05
75
0.01
60
0.00
1
0.10
26
0.12
45
Lahav Lipson, Zachary Teed, and Jia Deng: RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. 3DV
ACREtwo views7.07
122
2.38
213
13.26
241
7.36
206
4.86
220
10.28
140
4.40
148
15.51
83
13.69
96
17.22
169
19.23
103
8.00
58
4.20
33
10.64
60
8.50
188
0.33
193
0.32
249
0.03
81
0.14
184
0.37
144
0.77
221
IPLGRtwo views7.14
123
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48
13.14
240
4.24
42
1.15
93
9.78
135
0.98
18
23.98
186
21.70
172
16.22
146
18.43
96
8.45
63
7.66
109
9.26
47
5.45
139
0.21
162
0.05
75
0.04
94
0.06
140
0.32
129
0.38
148
CIPLGtwo views7.15
124
2.44
215
12.82
235
7.38
207
4.93
223
10.51
145
4.56
153
15.17
78
13.25
93
17.45
173
19.75
112
8.42
62
4.60
46
11.41
93
8.31
184
0.33
193
0.32
249
0.03
81
0.14
184
0.37
144
0.72
213
IPLGR_Ctwo views7.16
125
2.48
218
12.98
238
7.52
217
4.91
222
10.56
146
4.59
154
15.63
87
14.12
100
17.42
171
18.87
100
8.00
58
4.59
45
10.76
64
8.81
191
0.32
191
0.32
249
0.03
81
0.13
180
0.36
139
0.76
218
IPLGtwo views7.20
126
1.43
63
12.55
232
5.17
89
4.32
210
11.11
157
1.48
31
21.79
165
15.10
110
19.16
206
20.23
116
5.26
33
5.61
65
11.68
110
8.14
182
0.05
102
0.06
107
0.03
81
0.07
147
0.33
132
0.50
175
StereoVisiontwo views7.21
127
2.17
202
9.29
166
9.43
260
3.91
189
5.09
48
1.91
68
20.04
145
17.37
136
8.57
42
29.59
208
11.08
85
6.76
100
12.44
142
4.71
111
0.54
237
0.05
75
0.16
182
0.03
99
0.82
227
0.30
138
111two views7.26
128
1.65
124
7.28
82
3.56
24
0.32
8
10.76
149
3.53
127
20.55
154
27.51
225
10.07
52
16.62
79
14.30
138
9.53
146
12.02
119
5.87
145
0.14
135
0.01
9
0.00
1
0.00
1
0.31
120
1.14
252
HHNettwo views7.39
129
1.75
147
7.24
80
3.26
7
3.18
165
5.04
45
6.40
206
19.04
137
15.70
119
20.71
227
32.13
249
10.69
81
5.91
75
10.45
56
4.60
109
0.40
212
0.07
124
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205
0.13
180
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188
0.41
158
ASMatchtwo views7.40
130
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60
8.49
132
5.09
77
2.00
130
4.74
25
2.62
101
16.54
103
13.17
91
17.08
165
34.75
277
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121
10.33
159
12.04
121
4.82
119
0.05
102
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230
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205
0.17
197
0.16
46
0.97
237
IIG-Stereotwo views7.41
131
2.13
200
8.55
134
10.02
280
1.76
120
6.82
111
1.53
34
17.17
110
15.84
121
18.74
202
20.30
121
18.01
193
8.39
124
12.89
156
5.22
129
0.27
183
0.03
46
0.03
81
0.00
1
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46
0.30
138
RAFT+CT+SAtwo views7.44
132
1.46
71
6.46
54
10.73
295
3.34
172
4.70
19
7.45
231
16.45
101
25.89
211
10.18
53
27.15
189
7.27
49
8.00
119
15.11
198
3.19
69
0.02
76
0.00
1
0.18
189
0.46
274
0.30
109
0.47
168
LCNettwo views7.52
133
1.23
35
5.35
25
6.42
159
1.29
98
9.27
134
5.64
178
17.85
119
10.63
64
16.54
155
24.54
160
14.85
148
11.29
174
11.74
112
3.88
89
0.02
76
0.02
28
0.22
209
2.04
324
0.90
235
6.76
334
TestStereo1two views7.62
134
1.62
120
7.60
91
10.47
289
1.86
123
4.76
27
2.48
94
19.73
141
22.33
178
16.79
161
26.02
173
9.33
73
9.30
138
15.92
212
3.37
72
0.01
45
0.02
28
0.02
70
0.05
126
0.55
191
0.28
132
SA-5Ktwo views7.62
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1.62
120
7.60
91
10.47
289
1.86
123
4.76
27
2.48
94
19.73
141
22.33
178
16.79
161
26.02
173
9.33
73
9.30
138
15.92
212
3.37
72
0.01
45
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28
0.02
70
0.05
126
0.55
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0.28
132
mmmtwo views7.72
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1.50
83
8.56
135
5.29
102
1.89
127
14.14
198
5.70
180
18.42
126
11.02
67
16.04
142
23.78
154
17.00
172
10.03
154
12.03
120
7.54
169
0.12
130
0.07
124
0.50
248
0.20
209
0.31
120
0.18
83
RAFT-RH_RVCtwo views7.73
137
1.25
41
6.99
70
4.83
64
0.90
70
11.76
161
1.53
34
13.00
46
14.43
105
17.51
175
46.41
342
11.02
84
6.30
89
12.68
148
4.93
122
0.51
234
0.04
55
0.12
158
0.13
180
0.09
16
0.09
29
TransformOpticalFlowtwo views7.76
138
1.90
166
9.31
167
5.50
107
1.18
94
6.97
114
8.27
236
17.86
121
13.21
92
14.58
107
29.13
202
19.01
198
10.85
162
12.51
146
3.69
81
0.01
45
0.04
55
0.20
200
0.04
112
0.17
53
0.84
224
HITNettwo views7.83
139
2.93
236
8.39
122
4.76
62
1.48
109
12.75
179
4.64
155
20.97
156
14.37
104
15.14
124
22.15
145
14.57
144
10.62
160
14.38
188
8.14
182
0.04
96
0.01
9
0.48
246
0.02
84
0.57
195
0.10
35
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
PFNettwo views7.91
140
1.44
70
11.60
220
7.03
192
2.42
143
7.60
123
6.03
192
23.36
182
17.24
133
20.29
220
17.67
84
15.44
158
7.71
112
13.02
167
5.71
142
0.24
174
0.20
203
0.12
158
0.19
208
0.31
120
0.61
193
SAtwo views7.93
141
1.54
91
9.13
163
7.98
232
0.64
40
5.85
84
2.29
86
22.27
171
24.54
202
13.17
92
31.07
231
8.87
67
10.32
158
16.49
227
3.12
66
0.04
96
0.12
165
0.17
184
0.30
247
0.45
160
0.17
80
AAGNettwo views7.94
142
1.48
76
9.34
169
7.13
199
0.70
47
5.85
84
5.16
164
15.40
81
14.01
98
20.13
217
24.03
159
15.28
156
11.52
178
12.05
122
15.47
245
0.63
252
0.06
107
0.32
232
0.01
63
0.12
31
0.09
29
FENettwo views7.94
142
1.01
9
6.72
57
5.87
128
2.07
133
11.11
157
2.03
74
21.39
160
20.81
159
17.14
167
22.65
147
14.43
140
11.54
181
12.97
162
7.89
176
0.15
141
0.24
230
0.03
81
0.02
84
0.14
39
0.62
194
ddtwo views7.96
144
4.08
262
11.49
219
6.53
167
0.93
73
8.28
129
4.03
139
16.53
102
33.82
268
15.17
126
16.50
78
6.79
42
5.96
77
14.30
186
9.90
200
1.13
292
0.42
267
0.17
184
0.44
271
2.01
276
0.79
222
raft_robusttwo views7.97
145
2.26
209
6.75
59
5.83
126
0.72
56
5.57
63
0.84
14
33.59
282
34.21
275
18.17
188
19.88
114
6.50
41
5.62
68
15.33
200
2.83
52
0.03
90
0.23
219
0.00
1
0.37
263
0.32
129
0.39
151
STrans-v2two views7.98
146
1.84
161
9.42
171
4.84
66
1.48
109
12.23
171
10.05
257
19.06
138
12.32
80
13.63
99
26.06
177
18.13
194
12.35
188
12.99
164
3.99
94
0.01
45
0.01
9
0.18
189
0.01
63
0.22
66
0.83
223
Prome-Stereotwo views8.10
147
1.28
42
5.48
28
6.50
164
1.51
112
6.70
106
9.42
248
21.08
157
9.13
57
20.88
228
32.84
258
11.95
101
11.86
184
11.75
113
3.97
93
0.01
45
0.02
28
0.18
189
0.12
177
0.41
155
7.01
339
ffmtwo views8.12
148
1.43
63
9.67
180
5.70
117
3.44
173
11.96
165
6.35
200
18.45
127
16.31
123
15.83
136
31.44
238
17.22
181
10.87
164
10.82
70
1.61
5
0.00
1
0.05
75
0.80
271
0.08
150
0.26
93
0.14
58
CASStwo views8.15
149
1.67
127
7.68
94
8.25
240
1.52
113
14.39
203
2.72
104
22.65
176
17.23
132
15.42
129
22.68
148
13.47
131
11.87
185
12.44
142
6.07
149
0.96
281
0.05
75
0.12
158
0.01
63
0.71
216
3.14
301
Junhong Min, Youngpil Jeon: Confidence-Aware Symmetric Stereo Matching via U-Net Transformer.
DN-CSS_ROBtwo views8.17
150
2.59
224
14.14
253
6.11
147
3.22
168
6.31
97
3.53
127
22.92
179
20.59
158
16.66
157
30.05
215
9.31
72
7.95
118
13.49
173
4.78
114
0.72
260
0.00
1
0.45
244
0.00
1
0.54
188
0.09
29
RAFT_CTSACEtwo views8.24
151
1.97
177
8.39
122
6.89
189
5.11
235
5.86
86
2.63
102
14.62
69
16.88
129
23.52
261
34.77
278
16.02
163
7.37
107
17.91
240
2.23
35
0.00
1
0.12
165
0.00
1
0.03
99
0.39
151
0.05
13
GMM-Stereotwo views8.34
152
1.09
23
6.42
52
6.14
149
2.52
147
10.30
142
9.64
253
23.44
183
10.64
65
17.84
178
29.89
212
17.37
187
7.75
113
11.55
99
4.36
104
0.05
102
0.01
9
0.23
212
0.90
296
0.46
161
6.26
328
GANet-ADLtwo views8.36
153
2.31
211
8.44
128
7.39
209
2.65
150
12.58
176
5.24
166
29.55
240
25.24
205
14.19
105
16.70
81
17.07
178
6.91
103
10.65
61
6.26
152
0.38
204
0.39
260
0.10
144
0.12
177
0.75
224
0.28
132
Sa-1000two views8.38
154
1.50
83
8.13
113
7.56
219
0.89
69
14.39
203
2.47
93
24.31
191
23.74
192
15.18
127
28.35
196
11.42
90
8.85
132
16.20
223
3.28
71
0.17
146
0.23
219
0.15
178
0.23
221
0.46
161
0.19
90
GwcNet-ADLtwo views8.48
155
1.70
134
9.38
170
7.10
197
2.78
154
6.74
109
6.57
214
30.15
244
26.01
214
15.15
125
17.77
85
13.93
135
6.96
104
12.96
161
9.91
201
0.48
228
0.72
300
0.01
60
0.01
63
0.51
182
0.84
224
ARAFTtwo views8.50
156
3.19
244
16.58
277
5.52
108
0.91
71
12.13
170
11.20
276
17.19
111
18.28
147
18.40
197
16.33
77
17.10
179
8.58
125
18.56
243
5.00
123
0.11
128
0.04
55
0.00
1
0.00
1
0.55
191
0.25
124
test_5two views8.51
157
1.50
83
8.19
118
11.06
301
5.00
230
6.91
112
5.67
179
17.50
112
22.09
176
16.07
143
29.63
209
15.28
156
10.78
161
15.94
214
3.65
79
0.00
1
0.00
1
0.26
218
0.08
150
0.31
120
0.35
146
RAFTtwo views8.51
157
2.16
201
8.93
141
8.14
236
0.81
64
12.63
177
8.49
237
16.34
99
15.56
117
22.31
248
18.99
102
19.29
205
11.39
177
17.57
236
6.05
146
0.01
45
0.19
199
0.27
219
0.02
84
0.64
206
0.45
166
GEStwo views8.51
157
1.98
178
11.82
223
6.39
158
1.77
121
12.36
174
6.22
198
21.55
162
21.34
166
19.02
204
26.02
173
8.79
65
9.34
141
13.94
180
7.24
162
0.38
204
0.10
156
0.30
230
0.14
184
0.69
211
0.73
214
DMCAtwo views8.51
157
1.90
166
9.96
190
5.16
88
4.14
200
10.29
141
4.46
151
25.52
198
19.55
154
16.33
149
20.69
124
17.59
188
11.26
173
10.42
55
11.36
222
0.50
231
0.08
138
0.35
235
0.05
126
0.36
139
0.31
141
PSM-AADtwo views8.62
161
1.22
33
5.69
36
6.31
154
1.12
85
12.74
178
10.01
256
19.29
139
15.25
111
21.54
241
25.11
165
14.24
137
13.47
204
12.15
129
3.93
91
0.01
45
0.06
107
2.48
320
0.16
193
0.38
149
7.28
344
FTStereotwo views8.67
162
1.13
28
6.04
40
6.04
143
2.39
142
7.86
125
12.05
288
17.72
116
8.33
50
20.16
218
41.41
317
16.10
166
12.64
192
10.80
68
4.37
105
0.18
148
0.01
9
0.09
128
0.16
193
0.15
41
5.71
324
iRaft-Stereo_5wtwo views8.70
163
1.81
160
9.33
168
5.83
126
3.78
183
4.87
32
11.12
275
15.86
95
14.80
108
15.23
128
26.36
179
21.49
217
12.91
197
15.94
214
12.73
226
0.58
241
0.05
75
0.08
122
0.09
161
0.85
229
0.33
144
IRAFT_RVCtwo views8.76
164
1.47
73
9.55
175
7.31
203
1.77
121
6.49
102
10.43
266
25.94
206
27.33
221
17.50
174
19.85
113
17.93
192
10.21
156
12.88
155
5.44
138
0.17
146
0.30
243
0.19
197
0.05
126
0.22
66
0.12
45
HCRNettwo views8.80
165
1.43
63
7.74
98
14.41
326
5.25
239
10.85
152
2.56
99
26.07
208
18.04
146
15.48
130
25.03
163
18.63
197
9.93
153
13.01
165
6.76
156
0.04
96
0.04
55
0.10
144
0.01
63
0.18
55
0.38
148
whm_ethtwo views8.83
166
4.45
269
17.70
285
7.42
210
6.66
283
7.07
116
3.45
121
17.88
122
19.49
153
22.17
247
39.18
303
4.69
27
4.32
35
14.26
185
5.35
137
0.18
148
0.08
138
0.21
205
0.09
161
0.61
199
1.30
256
DEmStereotwo views8.85
167
1.36
55
9.99
193
4.24
42
1.05
79
11.49
160
5.91
183
13.76
62
26.68
218
22.03
245
32.92
260
11.86
98
15.27
241
11.48
94
8.08
181
0.16
143
0.15
182
0.02
70
0.09
161
0.09
16
0.44
164
SFCPSMtwo views8.85
167
1.40
57
11.34
216
5.23
101
3.47
179
16.55
241
7.18
228
30.71
251
25.24
205
16.45
151
19.45
106
11.10
87
9.61
147
11.88
117
5.52
140
0.22
165
0.17
190
0.36
238
0.22
213
0.29
108
0.58
188
GrayStereotwo views8.86
169
1.17
32
6.94
68
8.09
234
2.82
155
10.58
147
11.40
281
17.93
123
15.74
120
22.43
251
30.95
227
17.80
191
12.44
190
11.19
87
4.57
108
0.02
76
0.02
28
0.18
189
0.79
293
0.31
120
1.90
278
anonymousatwo views9.03
170
1.62
120
8.03
110
4.19
38
5.53
253
15.37
216
3.81
136
18.55
131
21.20
165
18.28
190
30.99
229
20.79
211
13.42
202
10.58
57
7.57
171
0.00
1
0.05
75
0.29
226
0.18
198
0.10
26
0.11
41
KYRafttwo views9.04
171
1.11
25
7.02
71
6.50
164
0.97
75
8.27
128
8.19
235
22.86
178
8.20
48
21.30
239
31.38
235
22.64
227
8.20
122
11.99
118
2.96
58
0.02
76
0.02
28
0.05
100
0.68
287
0.40
152
18.09
371
DualNettwo views9.14
172
1.43
63
9.67
180
5.70
117
3.44
173
11.96
165
6.35
200
18.45
127
16.31
123
15.83
136
31.44
238
17.22
181
10.87
164
10.82
70
21.98
286
0.00
1
0.05
75
0.80
271
0.08
150
0.26
93
0.14
58
Wang Yun; Wang Longguang: ECCV2024. ECCV2024
BUStwo views9.20
173
1.48
76
7.93
104
6.74
183
3.96
191
17.62
249
2.79
108
33.06
277
21.58
169
17.99
183
21.34
130
14.49
141
9.40
143
14.18
182
10.57
212
0.19
152
0.13
169
0.14
173
0.04
112
0.30
109
0.09
29
CoDeXtwo views9.24
174
1.77
155
9.54
174
6.08
145
3.79
185
16.45
240
6.76
218
26.15
209
25.03
203
17.18
168
25.12
166
14.69
146
11.68
183
12.22
131
6.71
155
0.30
187
0.20
203
0.15
178
0.02
84
0.23
78
0.68
205
CrosDoStereotwo views9.24
174
1.29
43
8.16
116
4.56
56
1.04
77
7.52
121
15.00
309
15.85
93
24.31
195
24.27
263
33.44
265
13.37
126
13.82
212
12.23
132
8.86
192
0.01
45
0.11
161
0.09
128
0.04
112
0.36
139
0.53
179
DeepStereo_LLtwo views9.24
174
1.29
43
8.16
116
4.56
56
1.04
77
7.52
121
15.00
309
15.85
93
24.31
195
24.27
263
33.44
265
13.37
126
13.82
212
12.23
132
8.86
192
0.01
45
0.11
161
0.09
128
0.04
112
0.36
139
0.53
179
DRafttwo views9.27
177
1.23
35
9.08
159
3.62
29
0.78
63
13.27
186
5.89
182
16.97
106
29.57
234
21.15
237
38.46
301
10.09
78
13.98
217
11.58
102
7.91
177
0.43
219
0.30
243
0.06
111
0.26
233
0.26
93
0.45
166
MLCVtwo views9.32
178
2.22
207
12.55
232
5.22
99
1.32
100
13.79
191
1.35
29
21.14
159
23.65
190
21.91
244
31.37
234
17.14
180
7.57
108
16.00
217
10.18
207
0.22
165
0.01
9
0.03
81
0.02
84
0.40
152
0.29
137
BEATNet_4xtwo views9.37
179
4.85
276
12.05
227
5.48
106
1.35
103
13.15
184
6.15
196
25.06
196
16.74
128
16.18
145
24.65
161
17.29
186
12.51
191
16.91
231
10.92
215
0.38
204
0.18
195
0.81
277
0.05
126
1.95
272
0.65
202
THIR-Stereotwo views9.38
180
1.78
158
8.50
133
4.74
60
0.71
48
15.92
224
11.93
287
16.39
100
21.56
168
24.27
263
32.07
247
14.40
139
14.14
222
11.49
95
8.39
187
0.05
102
0.25
236
0.10
144
0.05
126
0.33
132
0.58
188
ff1two views9.41
181
1.43
63
9.67
180
5.70
117
3.44
173
11.96
165
6.35
200
18.45
127
16.31
123
15.83
136
31.44
238
17.22
181
10.87
164
16.19
220
21.98
286
0.00
1
0.05
75
0.80
271
0.08
150
0.26
93
0.14
58
GANet-RSSMtwo views9.48
182
1.32
50
6.45
53
6.72
182
5.51
252
12.78
180
6.03
192
26.55
213
18.96
151
14.92
114
27.95
193
25.41
251
14.69
230
13.52
176
7.60
173
0.10
125
0.10
156
0.16
182
0.01
63
0.51
182
0.39
151
UCFNet_RVCtwo views9.48
182
2.12
198
4.89
17
7.03
192
3.78
183
16.05
225
6.37
205
28.25
228
20.00
156
15.93
141
23.07
151
25.21
248
12.79
193
12.57
147
8.01
179
0.07
116
0.04
55
1.17
293
0.23
221
1.31
256
0.69
207
CFNet_pseudotwo views9.58
184
1.91
169
10.73
207
4.53
53
2.91
161
14.26
199
2.75
106
26.73
216
32.14
257
17.10
166
23.02
150
22.14
223
8.74
130
12.17
130
7.43
165
0.20
159
0.45
274
1.24
300
0.24
228
2.49
284
0.49
174
Anonymous3two views9.60
185
3.45
249
29.83
321
9.58
268
4.75
218
24.51
292
10.20
263
24.04
188
18.77
150
10.42
54
14.64
63
7.97
57
8.75
131
14.05
181
5.80
143
2.44
319
1.39
319
0.08
122
0.06
140
0.73
221
0.48
171
ccs_robtwo views9.61
186
1.92
173
10.72
206
4.55
54
2.89
158
14.33
201
2.86
110
26.85
217
32.36
259
17.05
164
22.91
149
22.12
222
8.70
129
12.10
127
7.44
166
0.19
152
0.44
271
1.38
302
0.25
231
2.68
287
0.57
186
PCWNet_CMDtwo views9.64
187
1.77
155
10.59
203
4.80
63
2.90
159
16.25
238
2.42
92
29.37
239
34.10
272
17.41
170
22.04
140
19.10
201
7.70
111
12.05
122
6.86
157
0.22
165
0.45
274
0.80
271
0.22
213
3.11
299
0.69
207
MSMDNettwo views9.64
187
1.77
155
10.63
204
4.83
64
2.90
159
16.35
239
2.37
89
29.33
238
34.29
276
17.43
172
22.10
142
19.05
200
7.79
114
12.11
128
6.87
158
0.23
172
0.46
276
0.67
260
0.21
212
2.77
289
0.60
191
BSDual-CNNtwo views9.70
189
1.48
76
7.93
104
6.74
183
3.96
191
16.10
229
7.13
225
33.06
277
21.58
169
17.99
183
21.34
130
22.28
224
11.53
179
14.18
182
7.81
174
0.19
152
0.13
169
0.14
173
0.04
112
0.30
109
0.09
29
PSMNet-RSSMtwo views9.71
190
1.73
136
6.09
41
7.47
215
4.27
204
10.06
138
6.00
190
29.14
235
21.74
173
15.76
135
32.88
259
22.63
226
13.18
199
12.94
160
9.12
196
0.09
121
0.02
28
0.07
119
0.10
167
0.70
214
0.24
119
IERtwo views9.78
191
1.55
94
9.97
191
4.51
52
5.23
238
13.78
190
5.11
163
26.66
214
22.79
183
19.69
208
29.45
206
16.42
167
18.52
274
13.64
178
7.57
171
0.06
112
0.03
46
0.18
189
0.09
161
0.18
55
0.23
113
psmgtwo views9.80
192
1.48
76
7.93
104
5.18
94
3.96
191
15.85
223
7.93
234
29.11
234
21.58
169
20.93
229
25.06
164
22.28
224
11.53
179
14.18
182
7.81
174
0.19
152
0.13
169
0.17
184
0.04
112
0.36
139
0.21
100
gwcnet-sptwo views9.81
193
2.82
228
13.47
244
5.99
136
4.27
204
16.20
235
5.91
183
25.55
199
24.34
198
21.01
230
20.69
124
15.22
152
14.96
234
14.50
191
9.97
202
0.05
102
0.15
182
0.02
70
0.08
150
0.49
177
0.51
176
scenettwo views9.81
193
2.82
228
13.47
244
5.99
136
4.27
204
16.20
235
5.91
183
25.55
199
24.34
198
21.01
230
20.69
124
15.22
152
14.96
234
14.50
191
9.97
202
0.05
102
0.15
182
0.02
70
0.08
150
0.49
177
0.51
176
ssnettwo views9.81
193
2.82
228
13.47
244
5.99
136
4.27
204
16.20
235
5.91
183
25.55
199
24.34
198
21.01
230
20.69
124
15.22
152
14.96
234
14.50
191
9.97
202
0.05
102
0.15
182
0.02
70
0.08
150
0.49
177
0.51
176
CFNet-ftpermissivetwo views9.87
196
2.18
205
5.49
29
7.45
213
5.25
239
15.76
220
5.98
188
21.89
167
21.87
174
14.96
115
30.02
213
25.68
252
13.68
208
12.46
144
10.94
217
0.08
119
0.06
107
1.83
308
0.22
213
1.09
240
0.43
162
CFNet_RVCtwo views9.87
196
2.18
205
5.49
29
7.45
213
5.25
239
15.76
220
5.98
188
21.89
167
21.87
174
14.96
115
30.02
213
25.68
252
13.68
208
12.46
144
10.94
217
0.08
119
0.06
107
1.83
308
0.22
213
1.09
240
0.43
162
PSMNet-ADLtwo views9.88
198
2.01
186
6.80
63
9.18
255
4.26
203
15.11
211
3.50
122
27.12
218
24.42
201
14.72
109
18.96
101
25.32
250
13.43
203
15.76
205
14.04
234
0.79
267
0.78
306
0.00
1
0.02
84
0.26
93
1.18
255
ttttwo views9.98
199
1.49
80
7.30
87
6.43
160
3.95
190
14.02
194
5.06
162
33.03
276
29.84
238
14.90
113
30.95
227
14.81
147
9.66
148
15.36
202
11.38
223
0.38
204
0.19
199
0.10
144
0.03
99
0.37
144
0.28
132
UDGNettwo views10.05
200
13.89
340
10.00
194
9.36
259
2.69
151
7.82
124
1.88
65
18.86
134
34.64
278
17.52
176
13.70
59
13.40
128
7.18
105
13.01
165
6.30
153
5.30
342
0.08
138
12.57
360
2.80
332
8.19
339
1.71
274
cf-rtwo views10.06
201
1.60
114
7.99
108
5.82
124
5.70
261
12.92
182
4.78
158
24.18
190
27.47
224
16.91
163
31.02
230
25.12
247
14.05
218
11.63
108
11.01
220
0.03
90
0.03
46
0.05
100
0.03
99
0.43
158
0.39
151
ICVPtwo views10.07
202
1.73
136
6.11
42
9.08
251
3.31
171
12.25
172
6.56
213
26.30
211
22.52
180
16.49
153
31.80
244
26.94
261
12.42
189
11.35
91
10.92
215
1.17
294
0.57
293
0.17
184
0.10
167
0.58
197
1.07
246
Kwon, Oh-Hun and Zell, Eduard: Image-Coupled Volume Propagation for Stereo Matching. 2023 IEEE International Conference on Image Processing (ICIP)
hknettwo views10.13
203
1.56
103
10.27
198
6.74
183
3.72
181
16.10
229
7.13
225
33.06
277
21.12
163
17.99
183
21.34
130
23.11
229
14.95
233
16.43
226
8.34
186
0.14
135
0.13
169
0.14
173
0.04
112
0.30
109
0.09
29
AdaStereotwo views10.22
204
3.63
251
9.14
165
9.15
253
3.24
169
15.79
222
5.39
172
31.94
261
25.42
207
18.39
196
26.47
180
19.44
206
9.50
145
16.60
229
8.59
189
0.44
221
0.05
75
0.40
242
0.00
1
0.57
195
0.16
76
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.
CFNet_ucstwo views10.25
205
1.91
169
11.88
224
4.98
72
4.08
198
15.11
211
3.57
131
28.02
225
31.98
256
18.21
189
25.20
167
23.27
232
9.38
142
13.38
171
7.22
161
0.23
172
0.81
307
1.65
306
0.22
213
3.01
295
0.93
234
iResNettwo views10.26
206
3.10
243
15.72
268
7.35
205
2.13
134
13.86
193
7.07
224
22.80
177
28.01
226
20.10
216
30.40
218
16.79
170
11.06
170
14.46
190
10.29
211
0.39
210
0.05
75
0.00
1
0.07
147
0.73
221
0.73
214
RAFT + AFFtwo views10.27
207
3.77
255
17.13
279
10.24
286
4.97
226
13.08
183
11.52
282
25.69
202
25.80
209
14.72
109
16.12
75
19.16
202
11.35
176
16.24
224
9.04
195
0.30
187
1.46
321
0.66
259
0.20
209
2.03
278
1.94
279
ACVNettwo views10.36
208
1.68
132
5.49
29
6.01
139
2.75
153
12.78
180
3.56
129
21.89
167
34.81
279
14.96
115
30.78
224
24.72
244
13.88
215
15.81
206
17.20
258
0.13
133
0.01
9
0.06
111
0.06
140
0.51
182
0.15
72
ToySttwo views10.51
209
2.00
180
15.67
267
5.33
103
0.95
74
14.97
210
9.51
250
24.02
187
27.37
222
14.61
108
24.67
162
24.56
242
14.70
231
16.86
230
13.35
228
0.06
112
0.23
219
0.03
81
0.09
161
0.62
202
0.67
204
AACVNettwo views10.58
210
2.86
232
9.78
188
8.95
248
3.30
170
10.80
151
4.78
158
22.37
172
12.55
82
27.50
293
29.84
211
30.06
277
15.99
249
19.10
251
11.60
224
0.40
212
0.18
195
0.22
209
0.03
99
0.62
202
0.73
214
GwcNet-RSSMtwo views10.65
211
1.94
175
8.57
136
6.89
189
5.26
242
12.26
173
5.21
165
25.80
205
31.50
248
16.67
158
33.52
267
23.70
238
13.88
215
12.84
154
13.67
232
0.05
102
0.10
156
0.14
173
0.02
84
0.65
208
0.39
151
CFNettwo views10.67
212
2.33
212
8.90
140
6.66
177
4.09
199
16.05
225
4.26
147
30.44
248
31.01
247
18.53
198
26.48
181
23.69
237
13.68
208
15.27
199
10.59
214
0.05
102
0.02
28
0.44
243
0.05
126
0.73
221
0.23
113
mmxtwo views10.71
213
1.43
63
9.67
180
5.70
117
3.44
173
11.96
165
6.35
200
32.18
266
28.03
227
15.83
136
31.44
238
17.22
181
10.87
164
16.19
220
21.98
286
0.22
165
0.06
107
0.80
271
0.08
150
0.48
170
0.21
100
xxxcopylefttwo views10.71
213
1.43
63
9.67
180
5.70
117
3.44
173
11.96
165
6.35
200
32.18
266
28.03
227
15.83
136
31.44
238
17.22
181
10.87
164
16.19
220
21.98
286
0.22
165
0.06
107
0.80
271
0.08
150
0.48
170
0.21
100
NINENettwo views10.74
215
2.29
210
10.44
201
8.03
233
5.09
233
17.62
249
2.79
108
38.69
328
33.24
267
18.35
195
26.31
178
14.49
141
9.40
143
15.88
209
10.57
212
0.41
214
0.21
209
0.29
226
0.00
1
0.42
157
0.23
113
LMCR-Stereopermissivemany views10.75
216
4.13
264
10.67
205
13.11
316
3.99
196
16.68
242
5.91
183
25.30
197
22.69
181
22.04
246
21.80
135
14.67
145
14.24
224
20.55
275
15.86
247
1.90
308
0.04
55
0.00
1
0.02
84
1.29
253
0.18
83
DeepPruner_ROBtwo views10.77
217
4.56
271
13.13
239
6.37
156
4.28
209
10.14
139
6.86
219
36.42
312
19.59
155
17.87
179
27.37
190
23.19
231
12.26
187
19.09
250
10.23
209
1.05
288
0.48
279
0.23
212
0.15
190
0.89
233
1.17
253
LL-Strereotwo views10.79
218
3.52
250
12.54
231
8.77
244
5.44
250
7.49
118
9.26
245
35.15
301
28.70
232
16.47
152
15.85
72
21.06
214
17.42
267
21.62
281
9.72
199
0.21
162
0.22
214
0.74
265
0.08
150
0.98
236
0.60
191
DAStwo views10.80
219
2.03
190
13.96
250
9.01
249
6.23
273
14.67
208
7.38
229
21.59
163
32.58
262
18.67
200
28.13
194
19.20
203
17.08
262
16.54
228
7.31
163
0.58
241
0.01
9
0.29
226
0.01
63
0.47
168
0.20
93
GMStereo_Zeroshotpermissivetwo views10.83
220
7.81
306
19.95
298
9.55
266
2.47
146
11.83
162
1.31
26
20.84
155
20.52
157
22.73
253
35.93
283
24.76
246
5.94
76
19.68
257
7.04
159
0.45
222
0.02
28
0.25
216
0.01
63
5.38
324
0.19
90
HSM-Net_RVCpermissivetwo views10.88
221
1.23
35
5.46
27
5.57
109
2.63
149
20.12
266
6.06
194
27.67
222
28.35
231
20.63
225
25.51
170
34.01
302
14.38
227
16.18
219
9.29
197
0.11
128
0.07
124
0.01
60
0.00
1
0.13
36
0.14
58
Gengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan: Hierarchical Deep Stereo Matching on High-resolution Images. CVPR 2019
NOSS_ROBtwo views10.99
222
3.81
257
6.88
65
6.69
179
2.30
139
16.06
227
10.94
272
30.06
243
32.41
260
16.10
144
18.72
99
22.78
228
14.21
223
17.52
235
8.62
190
2.35
314
1.84
327
3.32
332
1.57
316
2.06
279
1.52
267
ac_64two views11.10
223
1.49
80
9.88
189
8.24
239
5.45
251
19.12
258
6.46
209
24.10
189
14.34
103
22.80
254
23.87
157
33.28
299
15.54
244
18.87
247
17.26
260
0.28
184
0.12
165
0.02
70
0.02
84
0.26
93
0.63
195
1111xtwo views11.32
224
1.34
52
8.95
145
5.20
96
1.96
128
14.46
205
7.75
233
35.65
306
28.23
230
15.66
134
26.66
184
26.65
256
14.76
232
15.88
209
22.27
291
0.24
174
0.13
169
0.04
94
0.06
140
0.30
109
0.24
119
HSMtwo views11.33
225
1.80
159
7.04
73
6.13
148
3.99
196
16.16
233
6.92
221
29.69
241
19.39
152
22.95
255
26.05
176
41.08
335
15.79
247
20.25
266
8.89
194
0.02
76
0.03
46
0.01
60
0.00
1
0.15
41
0.34
145
SepStereotwo views11.34
226
2.03
190
13.96
250
9.01
249
6.23
273
14.67
208
7.38
229
21.59
163
32.58
262
18.67
200
28.13
194
19.20
203
17.08
262
27.36
309
7.31
163
0.58
241
0.01
9
0.29
226
0.01
63
0.47
168
0.20
93
DMCA-RVCcopylefttwo views11.41
227
3.32
246
11.68
221
10.12
282
4.81
219
11.92
164
4.11
140
24.67
194
23.66
191
20.06
215
28.51
198
26.71
257
24.96
309
15.95
216
14.82
240
0.41
214
0.34
256
0.56
252
0.16
193
0.72
220
0.69
207
test_xeamplepermissivetwo views11.49
228
1.24
40
7.50
89
5.22
99
2.18
136
17.40
246
6.49
211
31.14
254
22.77
182
17.90
181
33.09
262
18.48
196
14.61
229
13.51
175
37.38
352
0.16
143
0.13
169
0.01
60
0.03
99
0.23
78
0.24
119
RASNettwo views11.59
229
1.71
135
10.36
200
6.30
153
5.66
258
15.48
218
6.12
195
34.50
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iResNet_ROBtwo views11.71
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UPFNettwo views11.72
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FADNet-RVC-Resampletwo views11.72
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xxxxtwo views11.74
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CBMV_ROBtwo views11.77
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DSFCAtwo views11.85
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FADNet_RVCtwo views11.94
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iResNetv2_ROBtwo views12.00
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hitnet-ftcopylefttwo views12.04
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NLCA_NET_v2_RVCtwo views12.05
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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 views12.16
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dadtwo views12.24
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pcwnet_v2two views12.32
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222two views12.33
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ADLNettwo views12.34
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CBFPSMtwo views12.42
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ADLNet2two views12.44
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AASNettwo views12.49
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HBP-ISPtwo views12.52
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CRFU-Nettwo views12.56
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UNettwo views12.64
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delettwo views12.65
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HGLStereotwo views12.72
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GEStereo_RVCtwo views12.81
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CSP-Nettwo views12.85
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SGM-Foresttwo views12.92
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Johannes L. Schönberger, Sudipta Sinha, Marc Pollefeys: Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching. ECCV 2018
MMNettwo views12.97
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STTStereotwo views12.97
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TDLMtwo views12.98
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AANet_RVCtwo views13.16
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psm_uptwo views13.18
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ssnet_v2two views13.23
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CVANet_RVCtwo views13.24
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FADNet-RVCtwo views13.27
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DLCB_ROBtwo views13.35
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StereoDRNet-Refinedtwo views13.36
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Rohan Chabra, Julian Straub, Chris Sweeney, Richard Newcombe, Henry Fuchs: StereoDRNet. CVPR
SACVNettwo views13.38
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iinet-ftwo views13.51
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CBMVpermissivetwo views13.69
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Konstantinos Batsos, Changjiang Cai, Philippos Mordohai: CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation. Computer Vision and Pattern Recognition (CVPR) 2018
PS-NSSStwo views13.70
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FADNettwo views14.18
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fast-acv-fttwo views14.25
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pmcnntwo views14.59
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Anonymous_2two views14.95
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NVstereo2Dtwo views15.15
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Wz-Net-LNSev-Reftwo views15.26
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3.68
253
27.36
315
7.11
198
5.83
265
24.88
297
12.12
289
30.19
245
36.12
289
27.08
290
45.98
337
29.10
268
13.65
207
20.45
273
20.26
278
0.67
255
0.00
1
0.10
144
0.00
1
0.32
129
0.26
127
StereoDRNettwo views15.30
276
4.47
270
14.35
258
10.71
293
8.69
322
25.02
299
11.03
273
39.66
333
35.62
285
29.17
303
28.81
199
34.05
303
17.80
270
18.80
246
23.77
300
0.41
214
0.30
243
0.15
178
0.14
184
1.64
264
1.42
263
FINETtwo views15.49
277
6.08
287
24.99
309
8.12
235
7.69
307
21.80
276
22.35
346
33.76
285
48.27
336
25.99
281
32.27
251
19.48
207
16.83
257
19.07
249
16.38
253
1.37
298
0.70
299
0.95
285
0.27
237
2.61
286
0.90
231
DRN-Testtwo views15.88
278
3.83
258
14.70
262
9.96
279
8.02
316
28.93
318
14.65
304
42.34
344
38.25
301
28.18
298
34.31
276
29.22
270
18.35
272
20.01
261
22.68
294
0.37
203
0.41
263
0.46
245
0.28
240
1.28
252
1.34
258
SDNRtwo views16.15
279
5.23
281
28.92
317
5.73
123
6.05
269
56.85
375
3.26
116
23.18
181
29.73
237
20.62
224
36.48
286
13.59
133
16.97
260
18.43
242
13.44
230
10.56
358
13.84
372
3.10
329
0.44
271
7.80
334
8.81
352
PA-Nettwo views16.29
280
6.88
302
27.34
314
9.88
276
11.12
337
21.77
275
28.15
365
32.06
264
39.49
302
19.99
211
27.91
192
23.50
235
20.59
287
20.25
266
24.04
303
0.24
174
2.26
335
0.22
209
4.59
344
1.13
245
4.48
316
Zhibo Rao, Mingyi He, Yuchao Dai, Zhelun Shen: Patch Attention Network with Generative Adversarial Model for Semi-Supervised Binocular Disparity Prediction.
DISCOtwo views16.36
281
1.88
165
16.15
270
7.78
226
4.19
201
26.92
310
10.21
264
30.31
246
44.26
325
21.35
240
33.91
273
35.80
313
22.40
294
35.65
343
33.87
339
0.18
148
0.08
138
0.04
94
0.04
112
1.71
266
0.54
181
GwcNetcopylefttwo views16.48
282
5.23
281
20.03
299
10.24
286
8.48
319
28.79
315
10.09
258
38.60
327
44.51
326
23.29
259
36.95
289
31.29
283
19.79
284
20.42
271
25.70
316
0.54
237
0.72
300
0.57
253
0.39
267
1.37
258
2.64
292
NaN_ROBtwo views16.51
283
6.51
296
16.22
272
10.53
291
4.64
216
31.76
329
17.78
331
37.00
317
43.37
320
29.68
308
31.29
233
32.67
296
20.32
285
28.00
314
16.06
249
0.38
204
0.41
263
0.32
232
0.41
269
0.87
232
1.94
279
FAT-Stereotwo views16.81
284
2.97
238
17.56
281
9.80
273
6.21
271
16.12
232
13.23
296
38.18
326
39.67
304
27.00
288
39.73
308
37.55
318
31.30
337
20.39
270
21.52
281
3.44
329
2.05
329
0.81
277
1.10
306
1.89
271
5.72
325
S-Stereotwo views16.85
285
3.95
260
20.67
302
12.08
311
8.91
325
21.68
274
12.61
292
32.20
268
44.61
327
22.37
250
38.42
300
29.15
269
28.02
321
18.58
244
22.36
293
2.88
323
3.11
347
0.87
283
1.82
320
3.58
307
9.08
354
DANettwo views16.85
285
8.00
308
26.04
312
14.56
329
7.25
297
20.59
268
5.37
167
26.22
210
26.02
215
32.17
322
36.00
284
37.20
316
29.77
330
30.75
323
24.62
308
1.14
293
1.34
316
2.21
316
0.51
279
3.18
301
4.07
311
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 views16.87
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16.27
345
17.93
288
11.24
305
6.69
284
28.95
319
10.44
267
41.23
341
21.49
167
29.68
308
34.27
275
32.48
291
11.00
169
20.05
262
15.09
243
8.22
350
2.59
338
12.23
359
0.75
291
10.40
347
6.34
330
PSMNet_ROBtwo views16.90
288
5.45
284
14.16
254
13.77
319
7.25
297
27.65
312
32.74
370
43.21
351
37.88
299
24.00
262
32.97
261
34.55
307
16.69
255
17.41
234
23.96
302
0.38
204
0.22
214
0.93
284
2.05
325
1.83
268
0.96
236
GANettwo views16.92
289
4.32
267
12.46
230
10.84
298
4.24
202
23.04
285
15.36
315
39.91
334
34.47
277
32.42
323
45.10
336
40.04
331
27.54
317
23.61
292
20.20
277
1.02
287
0.08
138
0.67
260
0.22
213
1.87
270
0.97
237
Syn2CoExtwo views17.03
290
10.40
321
25.65
311
20.35
346
8.02
316
26.28
306
11.27
277
37.16
318
32.69
264
28.89
300
40.17
309
29.27
271
26.63
312
19.19
252
17.63
262
0.98
282
0.54
289
1.23
299
0.23
221
1.82
267
2.24
287
NCCL2two views17.23
291
6.37
295
14.30
257
23.45
357
7.18
296
24.16
290
17.05
327
34.39
293
25.88
210
31.55
316
38.01
296
42.09
340
26.81
313
20.94
278
22.69
295
0.45
222
0.23
219
2.63
322
1.80
319
2.02
277
2.57
290
GASNettwo views17.30
292
19.38
354
30.46
325
20.66
348
9.36
328
16.06
227
9.06
242
43.89
355
40.04
306
25.35
276
23.73
153
32.90
297
15.37
243
28.91
317
17.05
256
3.04
326
0.27
241
1.88
310
0.45
273
6.73
328
1.37
260
ADCReftwo views17.30
292
6.73
299
42.01
344
10.11
281
8.78
324
26.61
309
10.45
268
31.29
257
32.75
265
31.19
314
41.62
320
18.47
195
19.78
283
24.29
295
34.06
341
0.76
263
0.42
267
2.16
314
1.79
318
1.23
250
1.56
268
XPNet_ROBtwo views17.33
294
4.84
275
15.44
266
11.15
302
6.64
280
20.88
269
16.10
319
36.26
311
39.54
303
31.80
320
41.32
316
41.30
337
23.91
299
24.67
296
27.40
322
1.07
291
0.74
302
0.79
269
0.25
231
1.10
242
1.31
257
RPtwo views17.58
295
4.92
278
15.27
265
15.44
334
11.95
344
21.05
271
11.75
286
27.64
221
45.09
330
22.99
256
42.05
323
39.39
327
27.74
319
25.54
302
22.33
292
5.45
343
0.59
294
4.33
334
1.62
317
3.53
306
2.86
295
SuperBtwo views17.60
296
6.22
294
56.40
364
7.91
229
5.07
232
19.70
263
9.03
240
24.87
195
50.15
346
26.25
285
39.13
302
17.61
189
20.84
289
22.28
284
25.31
312
0.70
256
0.31
246
1.10
291
0.71
288
16.58
364
1.86
276
ETE_ROBtwo views17.67
297
9.48
314
17.66
283
13.60
317
4.57
214
23.03
284
21.09
341
32.49
269
35.24
282
30.49
311
38.06
297
46.18
354
24.49
302
26.40
305
24.21
305
0.46
226
0.24
230
1.14
292
0.84
294
1.52
261
2.13
283
APVNettwo views17.75
298
5.46
285
20.35
301
12.31
312
8.40
318
30.16
322
24.10
354
41.14
340
30.12
241
25.08
271
41.09
314
31.24
282
23.12
296
27.07
308
27.86
327
0.34
197
0.56
292
3.02
327
0.52
280
1.68
265
1.45
264
PWCDC_ROBbinarytwo views17.80
299
9.62
315
18.38
289
17.95
342
7.74
308
24.61
294
5.56
177
34.41
294
52.79
350
29.66
307
50.20
352
20.63
210
19.69
282
29.85
322
20.87
279
6.18
346
0.26
238
0.10
144
0.05
126
5.36
323
2.00
281
MDST_ROBtwo views17.92
300
1.60
114
13.68
248
13.88
322
6.44
278
43.05
358
14.86
307
42.74
347
41.66
311
43.25
353
42.85
327
28.43
265
17.28
264
29.35
319
16.06
249
0.88
276
0.11
161
0.63
257
0.47
275
0.50
181
0.64
201
Nwc_Nettwo views17.98
301
4.67
273
17.79
287
14.26
324
11.65
343
25.14
300
14.88
308
40.85
338
39.83
305
21.07
234
43.24
329
34.50
306
27.64
318
26.44
307
25.03
309
3.22
328
0.18
195
2.52
321
3.18
333
1.98
273
1.51
266
ADCP+two views18.16
302
4.61
272
32.94
328
9.31
258
10.23
332
28.87
316
11.69
284
33.43
281
36.49
291
29.28
305
40.49
311
24.18
239
24.61
305
33.89
333
35.33
343
0.25
180
0.40
262
2.00
311
1.17
308
2.16
280
1.87
277
Wz-Net-LNSevtwo views18.19
303
10.57
323
41.33
342
10.19
284
7.94
314
24.29
291
15.28
313
34.15
288
43.38
321
32.90
326
43.72
332
31.94
287
22.21
293
20.81
277
22.26
290
0.47
227
0.22
214
0.00
1
0.02
84
1.22
249
0.94
235
PWC_ROBbinarytwo views18.37
304
10.55
322
25.19
310
10.21
285
6.29
277
23.75
288
4.79
160
35.93
308
48.75
339
32.56
324
44.46
335
34.68
308
24.78
307
30.99
324
25.72
317
1.38
300
0.08
138
1.57
304
0.26
233
2.18
281
3.17
302
AF-Nettwo views18.38
305
5.60
286
14.21
255
15.95
335
10.78
335
22.26
278
10.45
268
35.39
303
50.22
347
24.71
270
37.77
294
41.55
338
29.24
328
29.11
318
26.67
318
4.35
338
0.06
107
4.56
335
0.90
296
2.42
282
1.38
261
Anonymous Stereotwo views18.60
306
11.75
332
49.81
353
14.43
327
12.02
346
14.33
201
23.23
353
32.16
265
43.08
318
24.32
268
34.16
274
24.24
240
14.12
220
31.67
327
30.84
336
0.89
277
0.91
312
1.74
307
1.92
323
3.23
302
3.23
303
stereogantwo views18.62
307
3.07
241
16.31
275
13.04
315
9.99
330
35.74
342
9.09
243
38.17
325
45.27
331
24.39
269
41.24
315
39.93
329
25.46
310
31.29
326
24.33
307
1.80
306
0.91
312
2.71
324
0.75
291
5.15
322
3.70
304
edge stereotwo views18.75
308
5.12
279
17.66
283
10.77
297
7.84
312
22.41
280
11.03
273
35.23
302
42.07
315
34.62
330
42.74
325
41.28
336
35.50
344
25.14
300
24.17
304
2.42
318
2.42
337
6.35
341
1.45
314
2.89
294
3.80
305
RYNettwo views18.92
309
4.69
274
16.88
278
10.99
299
15.84
353
46.72
360
16.57
324
37.84
322
48.03
335
26.92
287
26.48
181
37.84
321
24.92
308
19.80
259
31.04
337
0.25
180
0.25
236
0.62
256
0.03
99
6.34
327
6.39
331
Wz-Net-MNSevtwo views18.98
310
6.53
297
33.16
330
10.15
283
7.26
299
38.37
349
16.45
322
34.19
290
43.20
319
30.65
312
40.76
312
40.51
333
19.24
279
27.56
310
28.06
332
0.81
269
0.26
238
0.05
100
0.10
167
1.45
260
0.84
224
LALA_ROBtwo views19.19
311
7.15
304
15.93
269
12.96
314
5.30
245
28.30
314
23.21
352
42.51
345
36.69
292
33.45
328
40.81
313
50.96
363
24.53
303
27.92
312
25.66
315
0.60
245
0.44
271
2.04
312
1.22
310
2.54
285
1.47
265
aanetorigintwo views19.21
312
12.59
334
53.50
357
9.67
270
7.83
310
11.85
163
13.87
299
17.05
108
34.15
273
49.18
362
48.89
348
34.05
303
30.22
332
22.86
287
28.00
331
1.01
286
0.75
304
0.67
260
0.89
295
3.07
297
4.14
312
SGM_RVCbinarytwo views19.52
313
2.12
198
6.79
62
6.59
170
1.33
101
38.20
348
15.74
317
38.13
324
34.07
271
45.71
358
41.91
322
51.41
364
38.10
350
38.77
356
27.80
326
0.61
248
0.36
258
0.51
249
0.33
257
1.03
238
0.90
231
Heiko Hirschmueller: Stereo processing by semiglobal matching and mutual information. TPAMI 2008, Volume 30(2), pp. 328-341
RTSCtwo views19.64
314
9.36
311
31.06
326
10.99
299
6.24
275
28.10
313
10.14
262
37.50
321
58.34
367
31.74
318
36.70
288
32.50
293
21.03
291
36.00
346
37.24
351
1.23
296
0.44
271
0.12
158
0.31
250
1.98
273
1.69
273
NCC-stereotwo views19.75
315
6.08
287
23.96
306
15.05
330
16.17
354
18.42
252
21.45
342
43.31
353
41.00
309
24.30
266
38.12
298
34.98
309
26.92
314
35.46
340
25.65
313
4.29
336
2.07
330
3.24
330
8.90
359
2.86
291
2.86
295
Abc-Nettwo views19.75
315
6.08
287
23.96
306
15.05
330
16.17
354
18.42
252
21.45
342
43.31
353
41.00
309
24.30
266
38.12
298
34.98
309
26.92
314
35.46
340
25.65
313
4.29
336
2.07
330
3.24
330
8.90
359
2.86
291
2.86
295
Xing Li, Yangyu Fan, Guoyun Lv, and Haoyue Ma: Area-based Correlation and Non-local Attention Network for Stereo Matching. The Visual Computer
DGSMNettwo views19.79
317
12.06
333
33.43
331
13.79
320
16.23
356
22.97
283
15.88
318
35.41
304
41.96
314
19.90
210
32.16
250
35.60
312
18.14
271
29.48
321
23.10
297
3.85
333
3.89
357
6.16
340
4.75
346
13.56
358
13.44
364
RGCtwo views19.90
318
13.26
336
20.24
300
18.19
343
14.06
351
21.21
272
14.33
302
34.97
298
43.60
323
27.73
295
41.49
319
39.76
328
27.98
320
34.52
336
21.37
280
3.66
332
0.54
289
8.67
352
4.16
342
4.19
313
4.02
309
DeepPrunerFtwo views19.92
319
11.02
329
44.29
345
20.74
349
17.75
358
19.19
259
22.57
347
36.86
316
49.93
342
25.48
277
36.62
287
24.69
243
23.97
300
23.44
290
21.79
283
2.68
322
1.63
324
5.70
338
3.95
340
3.38
305
2.67
293
WCMA_ROBtwo views20.02
320
4.30
266
19.72
296
9.47
265
7.00
292
32.71
335
13.99
300
31.97
262
32.48
261
41.51
347
52.00
355
44.09
345
36.14
346
32.43
329
24.29
306
6.19
347
2.79
343
1.09
290
1.10
306
3.95
310
3.13
300
psmorigintwo views20.95
321
10.24
320
35.84
332
9.75
272
7.05
293
24.59
293
10.11
259
32.85
274
32.17
258
43.09
351
54.57
362
42.79
341
36.62
347
35.99
345
27.41
323
1.58
302
2.72
342
0.79
269
1.05
303
3.26
303
6.50
332
SANettwo views20.96
322
6.60
298
29.81
320
8.83
245
3.19
166
31.27
328
20.56
340
41.86
343
56.09
363
39.30
343
43.62
330
44.95
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31.93
339
27.83
311
23.67
299
0.94
279
0.52
287
0.99
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0.42
270
4.72
316
2.03
282
FBW_ROBtwo views21.00
323
10.23
319
22.72
304
13.71
318
6.77
286
30.49
326
16.46
323
44.58
356
43.57
322
44.25
356
39.59
306
43.27
343
26.12
311
33.96
334
21.80
284
2.58
321
1.84
327
7.14
350
2.78
331
4.00
311
4.06
310
SQANettwo views21.24
324
24.08
363
19.60
295
26.40
362
18.74
360
30.87
327
9.24
244
32.70
271
29.58
235
25.25
273
33.37
264
33.47
300
19.19
278
28.11
315
18.32
266
10.87
359
2.92
345
26.49
370
5.65
349
18.43
368
11.48
359
G-Nettwo views21.25
325
8.24
309
37.97
337
15.14
333
9.26
327
50.87
366
16.80
326
27.96
223
30.54
243
38.92
340
42.93
328
33.27
298
32.17
340
27.99
313
25.25
311
4.40
339
3.83
355
3.60
333
0.97
302
7.91
336
6.95
338
SHDtwo views21.32
326
10.03
317
30.16
323
14.30
325
8.68
321
24.15
289
8.93
238
40.82
337
61.17
371
35.79
334
44.15
334
38.73
323
30.20
331
33.88
332
31.09
338
2.00
309
0.81
307
1.17
293
1.55
315
4.08
312
4.78
318
CSANtwo views21.34
327
9.45
313
23.34
305
20.99
351
4.95
225
32.57
333
34.26
371
38.83
330
49.95
344
36.97
337
39.72
307
44.97
348
31.73
338
26.05
303
23.94
301
1.52
301
0.47
278
0.85
280
1.43
313
2.73
288
2.14
285
UDGtwo views21.45
328
14.84
342
14.44
259
21.30
354
20.08
362
32.05
332
13.76
298
35.98
310
35.52
284
25.93
280
30.69
221
37.26
317
30.66
334
21.97
282
19.89
276
10.88
360
5.55
362
22.78
366
7.65
354
14.83
363
13.05
363
ADCLtwo views21.64
329
6.20
291
47.32
351
9.93
277
6.91
291
38.69
352
19.97
338
31.26
255
54.04
352
27.89
296
47.97
345
31.35
284
30.66
334
33.18
331
36.62
347
0.99
283
0.92
314
2.63
322
1.82
320
2.45
283
2.13
283
ADCPNettwo views21.93
330
9.38
312
57.92
365
11.76
307
6.88
290
36.03
343
18.44
333
32.80
273
35.93
286
32.91
327
43.80
333
39.21
326
26.99
316
31.14
325
36.94
349
2.05
310
2.67
341
2.30
318
3.45
336
4.22
314
3.82
306
CC-Net-ROBtwo views22.04
331
22.91
360
28.86
316
14.05
323
8.73
323
33.79
337
15.26
312
46.84
360
36.06
288
33.72
329
32.10
248
35.47
311
24.02
301
23.57
291
27.88
328
8.95
353
2.95
346
24.94
368
3.68
337
12.41
356
4.62
317
STTRV1_RVCtwo views22.05
332
18.29
349
39.19
338
16.73
338
23.82
369
29.51
320
15.66
316
34.87
297
34.16
274
35.00
331
34.89
279
31.89
286
28.80
326
28.81
316
23.08
296
11.86
365
3.26
348
6.50
342
4.65
345
14.38
362
5.69
323
MeshStereopermissivetwo views22.27
333
6.87
301
11.15
213
7.69
222
4.87
221
37.70
346
13.06
294
41.64
342
36.95
293
50.92
365
53.41
359
58.12
369
41.93
359
37.73
352
27.62
325
2.52
320
2.37
336
2.99
326
2.07
326
3.09
298
2.60
291
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
DDUNettwo views22.66
334
19.69
356
14.64
260
24.11
358
22.38
366
24.84
295
17.71
330
30.36
247
30.32
242
29.02
301
37.31
292
37.63
319
24.66
306
24.67
296
17.08
257
18.42
369
7.92
368
26.43
369
11.81
365
17.23
366
16.95
368
Wz-Net-SNSevtwo views22.67
335
16.94
347
45.69
348
13.85
321
8.52
320
28.89
317
27.06
362
39.39
332
55.04
358
31.77
319
53.23
357
39.18
325
23.41
298
26.40
305
36.25
345
0.78
264
0.21
209
1.21
297
0.90
296
3.03
296
1.62
270
ADCMidtwo views22.76
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10.75
325
41.73
343
11.23
304
7.97
315
27.26
311
19.18
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35.44
305
38.02
300
40.23
344
46.38
340
36.56
315
42.70
360
38.20
354
40.75
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1.77
304
1.43
320
3.05
328
3.81
339
4.96
318
3.82
306
MSMD_ROBtwo views22.90
337
9.64
316
14.76
263
17.46
341
9.88
329
34.94
339
18.83
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33.67
284
37.47
294
40.97
346
59.80
369
45.93
352
38.34
351
31.74
328
23.24
298
6.22
348
3.58
352
8.78
353
11.03
364
6.76
330
5.06
322
LE_ROBtwo views22.93
338
3.07
241
14.02
252
7.70
223
2.86
156
31.99
331
17.35
329
28.10
226
67.19
382
70.51
385
55.61
365
49.07
359
47.62
366
24.76
299
36.49
346
0.35
200
0.20
203
0.27
219
0.55
281
0.48
170
0.44
164
AnyNet_C32two views23.37
339
13.28
337
40.29
341
12.36
313
11.44
340
30.39
323
29.15
366
31.36
258
44.90
329
35.36
332
48.86
346
33.61
301
34.20
342
43.15
363
41.62
365
1.27
297
1.35
317
1.18
295
2.58
329
4.77
317
6.27
329
SGM-ForestMtwo views23.72
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2.44
215
9.13
163
7.43
211
2.25
137
44.80
359
19.11
336
44.90
357
49.97
345
50.74
364
51.18
353
62.06
377
45.83
364
44.96
364
33.88
340
1.00
284
0.84
309
0.78
267
0.62
285
1.29
253
1.11
248
MFN_U_SF_DS_RVCtwo views23.92
341
13.60
338
30.09
322
25.46
360
10.02
331
38.51
350
20.40
339
35.77
307
43.76
324
42.15
348
47.10
344
39.99
330
28.20
323
35.96
344
27.06
320
3.64
331
3.85
356
6.66
343
16.30
370
4.97
319
4.98
321
ccnettwo views24.02
342
16.16
344
21.70
303
11.83
308
17.75
358
37.87
347
16.18
320
45.46
359
31.93
255
36.99
338
46.46
343
38.76
324
29.52
329
37.55
351
40.93
362
9.20
354
6.29
363
9.63
355
7.71
356
11.19
351
7.21
343
XQCtwo views24.10
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16.76
346
50.68
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21.37
355
11.01
336
35.24
341
18.84
335
37.28
320
55.11
359
31.64
317
30.06
216
37.71
320
30.31
333
37.17
349
39.66
356
4.20
335
0.41
263
2.76
325
1.89
322
11.46
355
8.42
351
FC-DCNNcopylefttwo views24.37
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10.99
328
19.02
292
18.44
344
9.16
326
36.98
344
23.07
350
40.44
335
43.05
317
46.25
360
53.58
361
50.44
361
37.86
349
35.45
339
27.57
324
6.87
349
3.37
349
6.01
339
4.88
347
7.86
335
6.05
326
DPSNettwo views24.40
345
6.97
303
33.14
329
11.16
303
6.54
279
53.33
369
43.32
379
51.28
368
59.37
369
30.89
313
39.36
304
40.35
332
34.30
343
32.57
330
25.09
310
4.65
341
1.62
323
0.37
239
0.66
286
8.51
341
4.44
315
PDISCO_ROBtwo views24.45
346
9.24
310
29.28
319
28.68
365
19.96
361
37.14
345
15.33
314
45.04
358
54.69
355
29.24
304
42.67
324
46.07
353
28.17
322
35.35
338
30.30
335
9.92
356
2.13
332
6.90
344
3.20
334
8.74
342
6.87
337
Wz-Net-TNSevtwo views25.12
347
20.16
357
57.98
366
9.56
267
7.42
302
42.73
357
22.27
345
35.14
300
53.46
351
35.97
335
42.74
325
45.83
350
39.87
355
36.56
347
34.73
342
1.82
307
1.51
322
0.76
266
1.34
312
5.84
326
6.80
335
EDNetEfficienttwo views25.16
348
22.23
359
77.22
390
9.09
252
7.38
300
19.38
260
16.78
325
21.41
161
55.74
362
61.52
377
53.51
360
36.22
314
40.65
358
24.22
293
38.27
353
0.62
251
0.74
302
0.86
282
2.60
330
7.70
333
7.09
340
WZ-Nettwo views25.17
349
12.95
335
63.02
370
15.13
332
10.42
334
38.51
350
27.42
364
40.46
336
54.17
353
28.32
299
52.95
356
40.81
334
28.36
324
37.07
348
41.35
364
1.21
295
0.21
209
0.73
264
0.94
300
5.42
325
3.87
308
GANetREF_RVCpermissivetwo views25.41
350
29.28
365
24.63
308
25.18
359
6.04
268
30.44
324
35.39
374
47.84
362
50.60
348
36.88
336
36.04
285
34.11
305
31.23
336
37.46
350
27.96
330
8.58
351
2.66
340
16.29
362
4.95
348
14.37
361
8.32
350
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 views25.59
351
14.91
343
18.83
291
28.55
364
15.68
352
39.29
353
18.16
332
42.83
350
41.69
312
44.43
357
51.94
354
50.82
362
39.22
354
34.59
337
27.29
321
6.05
345
3.63
353
7.01
347
6.41
350
10.35
346
10.17
358
Dominik Hirner, Friedrich Fraundorfer: FCDSN-DC: An accurate but lightweight end-to-end trainable neural network for stereo estimation with depth completion.
ADCStwo views26.20
352
13.71
339
46.90
350
14.51
328
10.34
333
30.46
325
22.72
349
42.81
349
57.61
366
42.58
349
49.37
350
41.91
339
40.43
356
41.90
362
44.58
370
2.37
315
2.19
334
2.37
319
3.29
335
7.32
331
6.52
333
DLNR_Zeroshot_testpermissivetwo views27.62
353
51.32
377
91.46
402
98.51
412
98.03
411
3.10
6
0.50
8
30.95
253
7.65
41
8.16
37
15.68
70
7.31
51
1.63
5
11.87
116
4.21
101
40.37
379
0.87
311
0.06
111
0.34
258
80.23
402
0.24
119
MFN_U_SF_RVCtwo views28.16
354
14.14
341
53.23
356
21.11
352
7.91
313
39.97
354
13.13
295
51.65
370
46.34
333
47.41
361
53.38
358
55.32
367
40.53
357
38.47
355
39.74
357
5.67
344
4.46
358
6.98
346
8.73
358
7.47
332
7.44
345
PASMtwo views28.19
355
17.35
348
48.18
352
22.49
356
22.20
365
25.92
303
25.84
360
34.35
292
49.45
340
35.37
333
39.48
305
46.72
356
33.36
341
34.28
335
36.77
348
11.73
364
14.94
373
17.43
364
22.18
372
13.45
357
12.32
362
EDNetEfficientorigintwo views28.98
356
35.45
371
99.82
415
9.43
260
5.65
257
24.97
298
14.79
306
26.06
207
54.82
356
60.87
373
57.59
366
45.42
349
50.27
369
26.11
304
43.62
367
0.30
187
0.37
259
1.61
305
2.35
327
10.17
345
9.99
357
AnyNet_C01two views29.76
357
25.78
364
75.37
388
17.03
339
11.34
338
49.00
364
27.12
363
37.99
323
40.05
307
40.73
345
65.13
379
46.98
357
38.86
353
46.63
365
48.19
375
2.14
311
2.13
332
2.13
313
2.56
328
8.14
338
7.98
349
LSMtwo views29.98
358
19.52
355
55.11
362
19.06
345
53.75
384
32.57
333
23.17
351
42.61
346
48.57
338
45.97
359
55.04
364
42.93
342
36.02
345
35.63
342
27.03
319
2.33
313
9.19
369
4.87
336
7.71
356
10.65
349
27.91
378
RTStwo views30.15
359
23.12
361
96.33
405
16.71
336
11.63
341
58.66
378
24.28
355
36.80
314
62.63
375
43.79
354
46.10
338
32.56
294
43.90
361
51.29
371
40.92
360
2.38
316
0.66
296
1.06
288
0.74
289
5.11
320
4.34
313
RTSAtwo views30.15
359
23.12
361
96.33
405
16.71
336
11.63
341
58.66
378
24.28
355
36.80
314
62.63
375
43.79
354
46.10
338
32.56
294
43.90
361
51.29
371
40.92
360
2.38
316
0.66
296
1.06
288
0.74
289
5.11
320
4.34
313
DispFullNettwo views30.27
361
31.74
366
58.63
367
30.13
366
28.18
372
31.79
330
8.94
239
37.16
318
54.68
354
32.60
325
37.99
295
44.62
346
28.80
326
41.55
361
27.93
329
11.94
366
3.46
350
35.53
374
12.34
366
30.08
375
17.26
369
coex-fttwo views30.77
362
38.58
374
93.29
404
9.44
263
5.62
255
34.95
340
25.30
358
30.83
252
59.36
368
73.23
389
58.53
367
45.92
351
47.29
365
29.44
320
45.30
371
1.37
298
1.65
325
0.95
285
0.96
301
8.35
340
4.96
320
MANEtwo views31.97
363
10.75
325
17.71
286
20.94
350
13.77
349
47.80
362
26.85
361
53.00
373
55.20
360
59.29
369
64.30
376
64.93
380
56.31
378
51.83
374
38.69
355
9.61
355
4.72
359
6.91
345
19.93
371
9.20
343
7.64
347
otakutwo views33.18
364
35.99
372
52.93
355
40.01
371
21.41
363
55.08
370
17.25
328
43.30
352
61.58
372
39.25
342
49.16
349
46.61
355
28.49
325
39.77
358
28.76
333
18.56
370
7.00
367
31.82
372
9.61
361
21.53
370
15.48
365
PVDtwo views33.19
365
18.59
351
37.64
336
26.09
361
16.99
357
33.25
336
42.25
378
51.42
369
66.03
380
52.65
367
64.31
377
51.93
365
55.13
374
51.61
373
40.40
358
4.00
334
3.51
351
9.53
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4.26
343
10.62
348
23.56
373
ELAScopylefttwo views33.68
366
18.95
352
36.71
334
20.64
347
13.61
348
56.43
371
35.14
373
50.03
367
49.90
341
60.58
372
63.83
375
58.64
372
53.36
371
50.73
369
44.44
369
11.03
361
6.58
365
10.02
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7.43
353
13.58
360
11.94
361
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
ELAS_RVCcopylefttwo views33.79
367
19.15
353
35.97
333
21.28
353
13.79
350
52.58
367
36.11
375
48.96
365
55.66
361
61.47
376
62.91
371
58.35
371
53.55
372
53.37
376
42.23
366
11.25
363
6.64
366
10.32
357
7.05
352
13.56
358
11.58
360
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
SAMSARAtwo views34.43
368
18.53
350
31.91
327
55.34
380
35.34
374
75.99
397
94.71
407
47.97
363
50.84
349
37.47
339
36.99
290
53.12
366
38.55
352
39.56
357
38.65
354
3.59
330
5.40
361
2.22
317
3.72
338
9.43
344
9.29
356
Ntrotwo views34.97
369
37.63
373
54.53
360
43.26
375
22.45
367
57.73
376
21.97
344
47.14
361
64.21
378
39.12
341
48.86
346
47.93
358
36.94
348
40.66
359
29.83
334
17.16
368
6.51
364
32.70
373
10.17
362
24.06
371
16.48
367
BEATNet-Init1two views35.08
370
20.64
358
54.70
361
27.43
363
12.00
345
58.29
377
31.01
368
52.58
372
57.49
365
60.36
371
62.98
372
69.98
382
55.54
376
53.00
375
44.40
368
4.61
340
2.84
344
7.05
348
6.89
351
10.97
350
8.94
353
ACVNet-4btwo views36.40
371
52.20
378
56.11
363
42.45
374
21.78
364
48.56
363
14.37
303
49.50
366
60.15
370
43.17
352
46.38
340
55.62
368
24.56
304
38.15
353
21.97
285
25.13
374
3.66
354
46.93
378
33.56
377
25.97
372
17.74
370
MSC_U_SF_DS_RVCtwo views37.16
372
34.69
368
53.68
358
37.47
370
12.55
347
56.80
374
22.63
348
52.02
371
63.29
377
66.20
381
63.82
374
58.12
369
53.73
373
51.21
370
46.48
372
8.79
352
5.31
360
14.69
361
15.22
369
17.27
367
9.21
355
FADEtwo views41.00
373
35.07
369
67.42
379
32.15
367
23.61
368
40.02
355
25.39
359
57.09
378
71.09
386
43.02
350
41.74
321
43.42
344
51.38
370
58.81
378
50.88
380
37.95
378
21.02
374
44.59
377
42.77
379
17.09
365
15.50
366
ACVNet_1two views41.30
374
49.46
376
64.91
375
44.67
376
25.07
370
49.43
365
25.23
357
55.33
375
65.87
379
59.72
370
59.33
368
63.43
378
48.79
368
49.63
368
37.09
350
19.05
371
9.82
370
38.29
375
13.97
368
28.67
373
18.23
372
Consistency-Rafttwo views41.82
375
35.10
370
44.56
347
32.85
368
41.39
378
46.76
361
34.76
372
57.01
377
54.94
357
32.10
321
65.22
380
30.82
279
48.46
367
40.81
360
48.77
376
27.39
375
34.28
379
42.92
376
51.66
387
39.28
377
27.28
375
NVStereoNet_ROBtwo views41.93
376
32.40
367
44.55
346
36.60
369
27.78
371
34.52
338
32.38
369
48.84
364
57.18
364
69.34
384
75.62
390
66.07
381
64.86
382
47.34
366
60.78
387
15.72
367
23.99
376
23.40
367
32.06
376
21.34
369
23.86
374
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 views51.25
377
62.74
386
64.52
374
60.13
381
39.00
377
58.72
380
30.83
367
57.31
379
79.18
395
50.24
363
65.35
381
60.13
374
44.25
363
49.47
367
41.16
363
46.52
383
46.06
384
52.72
382
31.78
375
52.33
383
32.47
379
anonymitytwo views52.32
378
58.23
382
63.91
371
41.12
373
59.25
388
53.27
368
41.04
377
55.69
376
40.20
308
54.85
368
49.49
351
49.13
360
55.48
375
59.07
379
49.65
379
55.86
386
50.03
390
51.00
380
51.08
385
51.71
381
56.36
386
MADNet+two views53.31
379
68.61
387
98.75
412
67.03
385
37.58
375
79.83
403
81.74
403
60.38
381
61.61
373
51.43
366
54.92
363
61.11
376
59.29
380
69.66
388
76.71
402
23.88
373
24.03
377
17.08
363
12.35
367
32.47
376
27.69
377
JetBluetwo views54.08
380
45.10
375
74.15
386
51.17
378
47.68
379
75.66
396
60.97
388
63.63
382
62.09
374
63.32
380
64.88
378
78.86
389
68.17
383
68.15
386
75.09
401
36.86
376
24.88
378
29.01
371
29.12
374
28.71
374
34.13
380
SGM+DAISYtwo views54.67
381
56.61
379
62.73
369
40.21
372
53.22
382
61.95
383
48.59
381
55.05
374
44.62
328
61.03
375
63.68
373
60.46
375
55.62
377
60.68
381
55.34
383
56.34
387
48.56
387
50.16
379
49.63
384
52.25
382
56.76
388
SPS-STEREOcopylefttwo views55.62
382
59.14
383
64.16
372
45.05
377
53.84
385
59.88
381
44.00
380
59.53
380
49.94
343
62.33
378
61.09
370
59.80
373
56.82
379
60.06
380
57.85
384
58.41
388
48.34
386
51.07
381
49.21
383
55.41
385
56.48
387
K. Yamaguchi, D. McAllester, R. Urtasun: Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. ECCV 2014
ACVNet_2two views57.39
383
61.72
385
72.56
385
66.35
384
38.29
376
61.93
382
48.64
382
71.64
393
81.91
398
79.28
397
88.72
405
76.25
386
72.87
388
54.33
377
46.74
374
37.13
377
23.36
375
54.52
383
37.80
378
46.22
378
27.59
376
IMH-64-1two views59.25
384
58.09
380
67.69
380
66.06
382
50.51
380
56.45
372
49.45
383
68.83
387
67.75
383
67.58
382
80.37
394
70.15
383
74.28
390
72.16
393
48.94
377
42.00
380
42.87
381
65.57
384
47.02
380
51.52
379
37.76
382
IMH-64two views59.25
384
58.09
380
67.69
380
66.06
382
50.51
380
56.45
372
49.45
383
68.83
387
67.75
383
67.58
382
80.37
394
70.15
383
74.28
390
72.16
393
48.94
377
42.00
380
42.87
381
65.57
384
47.02
380
51.52
379
37.76
382
IMHtwo views62.95
386
60.33
384
67.78
382
69.51
386
53.65
383
65.09
386
54.21
385
72.00
394
73.28
389
72.49
387
81.93
396
72.96
385
79.81
394
76.65
399
51.41
381
43.57
382
49.82
389
67.81
386
51.14
386
54.83
384
40.67
384
TorneroNet-64two views65.66
387
70.70
390
71.20
384
76.52
391
59.70
390
66.78
387
58.05
386
67.53
386
80.00
396
62.67
379
67.40
382
83.09
394
69.42
385
67.34
383
62.05
390
48.31
385
44.07
383
72.93
388
63.88
389
68.05
390
53.58
385
PWCKtwo views65.90
388
88.63
406
79.40
393
80.32
399
29.96
373
63.85
385
39.45
376
72.07
395
71.26
387
78.74
396
68.99
384
77.82
388
61.77
381
82.81
403
62.64
391
80.17
401
39.88
380
81.90
399
47.37
382
73.54
399
37.51
381
WAO-6two views70.64
389
73.02
392
66.25
376
79.92
398
61.74
392
68.74
388
59.08
387
75.27
398
87.02
402
74.72
390
79.40
393
79.19
390
84.60
400
67.70
385
60.53
386
67.85
392
48.88
388
81.48
397
73.29
394
65.57
388
58.60
389
TorneroNettwo views71.21
390
73.44
393
75.82
389
80.82
400
65.65
394
70.53
390
64.39
391
71.42
392
75.97
391
71.47
386
73.68
388
84.17
397
74.00
389
69.85
389
69.09
394
59.37
389
48.19
385
79.67
393
73.51
395
74.93
400
68.26
399
LVEtwo views71.50
391
72.46
391
83.91
398
75.21
389
55.29
387
74.81
391
62.76
390
77.22
399
83.77
400
82.09
399
87.11
404
83.38
395
82.41
399
75.93
397
64.49
392
48.28
384
57.24
396
74.61
390
62.53
388
65.49
387
61.01
390
MFMNet_retwo views72.05
392
79.64
399
64.23
373
52.73
379
84.71
404
77.93
399
68.35
392
63.96
383
66.93
381
61.00
374
71.29
386
63.84
379
68.91
384
72.42
395
61.11
388
82.03
404
74.22
404
80.34
396
74.44
396
83.62
406
89.34
407
notakertwo views72.18
393
79.78
400
78.84
391
78.75
395
68.52
397
63.26
384
61.68
389
69.22
390
75.95
390
77.58
394
78.85
392
79.69
392
84.79
401
77.39
400
58.43
385
69.68
395
60.79
398
77.46
392
68.48
391
69.62
392
64.92
396
WAO-7two views72.21
394
78.21
395
54.04
359
79.33
397
69.31
399
70.20
389
72.09
398
77.85
402
84.90
401
77.35
393
86.03
400
79.37
391
79.88
395
65.32
382
65.33
393
62.33
390
69.70
402
70.51
387
73.21
393
67.23
389
62.02
391
ktntwo views72.58
395
80.06
402
69.96
383
79.14
396
69.86
400
75.40
395
70.43
397
69.01
389
76.90
392
72.88
388
77.46
391
77.43
387
77.41
393
72.78
396
55.00
382
79.09
398
65.99
399
80.09
395
68.29
390
71.46
397
62.98
392
UNDER WATER-64two views73.11
396
74.48
394
87.70
399
74.03
388
55.20
386
78.24
400
75.71
400
65.33
384
67.91
385
75.60
392
69.32
385
84.41
398
76.93
392
68.43
387
72.45
397
81.18
402
56.77
395
82.46
401
80.34
399
68.22
391
67.48
398
LRCNet_RVCtwo views73.59
397
69.80
389
74.41
387
77.63
393
60.56
391
40.33
356
15.08
311
71.04
391
48.36
337
88.07
405
94.62
408
90.11
404
81.83
397
80.58
402
61.26
389
97.12
412
72.30
403
96.65
411
97.58
412
77.13
401
77.30
403
DPSimNet_ROBtwo views74.29
398
83.27
404
59.30
368
77.19
392
65.13
393
75.14
393
74.95
399
73.99
397
76.94
393
81.99
398
75.48
389
80.18
393
71.76
386
67.39
384
84.00
404
81.87
403
51.14
391
79.99
394
76.70
398
70.17
393
79.21
404
UNDER WATERtwo views75.92
399
79.25
398
87.75
400
84.39
402
66.43
395
77.08
398
77.22
401
66.90
385
72.16
388
75.32
391
71.56
387
85.89
402
82.15
398
70.11
390
74.99
400
79.34
400
53.61
392
86.40
405
84.53
404
71.29
396
72.11
401
WAO-8two views76.87
400
78.41
396
66.45
377
86.81
404
72.47
401
79.27
401
68.59
394
77.75
400
89.01
404
83.09
401
86.98
401
85.87
400
84.97
402
72.12
391
69.11
395
74.93
396
55.23
393
87.79
407
83.50
402
70.47
394
64.56
394
Venustwo views76.87
400
78.41
396
66.45
377
86.81
404
72.47
401
79.27
401
68.59
394
77.75
400
89.01
404
83.09
401
86.98
401
85.87
400
84.97
402
72.12
391
69.11
395
74.93
396
55.23
393
87.79
407
83.50
402
70.48
395
64.56
394
HanzoNettwo views77.61
402
81.11
403
82.83
394
77.82
394
69.15
398
75.25
394
69.06
396
73.49
396
77.84
394
82.19
400
82.80
397
85.42
399
86.67
405
85.99
405
73.64
399
85.24
408
68.38
401
81.71
398
75.47
397
71.98
398
66.24
397
JetRedtwo views79.55
403
79.88
401
91.52
403
71.05
387
75.80
403
91.66
406
80.11
402
79.14
403
80.44
397
84.35
403
84.23
399
83.38
395
72.48
387
79.43
401
85.44
405
69.33
394
81.58
405
73.66
389
72.56
392
82.35
403
72.60
402
Deantwo views80.72
404
85.82
405
83.27
395
84.91
403
59.53
389
75.11
392
68.39
393
81.59
404
88.05
403
92.41
407
86.98
401
92.41
406
93.02
407
83.11
404
73.31
398
68.01
393
66.13
400
94.82
410
84.66
405
83.28
404
69.50
400
SPstereotwo views83.40
405
68.64
388
79.07
392
76.12
390
67.23
396
87.60
405
91.47
406
100.00
416
100.00
415
99.11
412
99.10
412
100.00
419
98.04
411
98.41
412
88.76
406
65.51
391
59.97
397
82.34
400
80.81
400
62.36
386
63.44
393
ASD4two views87.72
406
90.49
407
83.85
397
83.29
401
90.74
408
97.88
409
99.60
414
88.98
406
96.82
410
88.24
406
93.42
406
89.82
403
86.15
404
88.78
406
91.81
407
79.31
399
81.76
406
76.68
391
81.50
401
83.55
405
81.68
405
KSHMRtwo views88.54
407
93.03
408
83.31
396
95.54
409
91.74
409
82.37
404
83.41
404
84.43
405
81.99
399
87.89
404
84.05
398
91.94
405
81.33
396
76.34
398
81.76
403
96.44
411
96.14
411
96.69
412
97.12
411
92.52
411
92.67
411
tttwo views89.96
408
1.02
10
100.00
418
99.40
414
100.00
416
100.00
416
100.00
417
100.00
416
100.00
415
78.36
395
67.94
383
99.99
417
100.00
416
100.00
418
100.00
419
95.81
410
99.93
415
87.43
406
86.39
406
95.11
412
87.89
406
xxxxx1two views91.92
409
95.33
410
98.45
409
87.29
406
89.24
405
98.50
410
98.17
411
92.95
407
93.21
407
93.55
408
95.36
409
96.99
408
96.28
408
94.65
407
94.94
408
83.26
405
84.17
407
82.90
402
88.32
407
85.49
407
89.37
408
tt_lltwo views91.92
409
95.33
410
98.45
409
87.29
406
89.24
405
98.50
410
98.17
411
92.95
407
93.21
407
93.55
408
95.36
409
96.99
408
96.28
408
94.65
407
94.94
408
83.26
405
84.17
407
82.90
402
88.32
407
85.49
407
89.37
408
fftwo views91.92
409
95.33
410
98.45
409
87.29
406
89.24
405
98.50
410
98.17
411
92.95
407
93.21
407
93.55
408
95.36
409
96.99
408
96.28
408
94.65
407
94.94
408
83.26
405
84.17
407
82.90
402
88.32
407
85.49
407
89.37
408
MADNet++two views94.16
412
94.02
409
90.25
401
96.28
410
96.84
410
97.17
408
90.16
405
94.71
410
91.69
406
97.07
411
93.71
407
94.62
407
92.63
406
96.15
410
95.18
411
95.42
409
95.89
410
92.80
409
92.23
410
92.10
410
94.30
413
PMLtwo views99.19
413
100.00
418
98.08
408
99.28
413
99.53
413
100.00
416
99.73
415
98.24
411
99.44
412
100.00
417
99.57
414
98.76
412
99.84
414
100.00
418
98.88
414
100.00
415
99.54
412
100.00
415
99.50
414
99.90
415
93.55
412
MEDIAN_ROBtwo views99.19
413
99.84
413
99.62
414
98.49
411
98.51
412
98.58
413
97.81
410
98.80
413
98.56
411
99.36
415
99.49
413
99.56
413
99.06
413
98.35
411
98.31
413
99.99
414
99.63
413
100.00
415
100.00
416
99.81
414
99.95
415
HaxPigtwo views99.40
415
99.99
415
97.38
407
100.00
416
100.00
416
96.91
407
97.35
408
99.59
414
99.99
414
100.00
417
100.00
416
99.99
417
99.99
415
99.04
413
97.77
412
100.00
415
100.00
417
100.00
415
100.00
416
100.00
416
99.99
416
Anonymous_1two views99.65
416
99.95
414
99.93
416
99.80
415
99.60
414
100.00
416
100.00
417
99.82
415
99.98
413
99.62
416
99.94
415
99.75
414
100.00
416
99.66
414
99.88
415
98.45
413
99.84
414
98.73
413
99.26
413
99.41
413
99.36
414
test_example2two views99.68
417
99.99
415
99.99
417
100.00
416
99.99
415
99.86
415
99.99
416
98.29
412
100.00
415
100.00
417
100.00
416
98.15
411
98.39
412
99.98
415
99.98
416
100.00
415
99.99
416
99.40
414
99.53
415
100.00
416
100.00
417
AVERAGE_ROBtwo views99.80
418
99.99
415
99.40
413
100.00
416
100.00
416
98.99
414
97.72
409
100.00
416
100.00
415
100.00
417
100.00
416
100.00
419
100.00
416
100.00
418
100.00
419
100.00
415
100.00
417
100.00
415
100.00
416
100.00
416
100.00
417
DPSMNet_ROBtwo views99.95
419
100.00
418
100.00
418
100.00
416
100.00
416
100.00
416
100.00
417
100.00
416
100.00
415
99.15
414
100.00
416
99.96
415
100.00
416
99.99
416
99.99
417
100.00
415
100.00
417
100.00
415
100.00
416
100.00
416
100.00
417
DGTPSM_ROBtwo views99.95
419
100.00
418
100.00
418
100.00
416
100.00
416
100.00
416
100.00
417
100.00
416
100.00
415
99.14
413
100.00
416
99.96
415
100.00
416
99.99
416
99.99
417
100.00
415
100.00
417
100.00
415
100.00
416
100.00
416
100.00
417
Selective-RAFT-Errortwo views100.00
421
100.00
418
100.00
418
100.00
416
100.00
416
100.00
416
100.00
417
100.00
416
100.00
415
100.00
417
100.00
416
100.00
419
100.00
416
100.00
418
100.00
419
100.00
415
100.00
417
100.00
415
100.00
416
100.00
416
100.00
417
CasAABBNettwo views100.00
421
100.00
418
100.00
418
100.00
416
100.00
416
100.00
416
100.00
417
100.00
416
100.00
415
100.00
417
100.00
416
100.00
419
100.00
416
100.00
418
100.00
419
100.00
415
100.00
417
100.00
415
100.00
416
100.00
416
100.00
417
LSM0two views100.00
421
100.00
418
100.00
418
100.00
416
100.00
416
100.00
416
100.00
417
100.00
416
100.00
415
100.00
417
100.00
416
100.00
419
100.00
416
100.00
418
100.00
419
100.00
415
100.00
417
100.00
415
100.00
416
100.00
416
100.00
417
DPSM_ROBtwo views100.00
421
100.00
418
100.00
418
100.00
416
100.00
416
100.00
416
100.00
417
100.00
416
100.00
415
100.00
417
100.00
416
100.00
419
100.00
416
100.00
418
100.00
419
100.00
415
100.00
417
100.00
415
100.00
416
100.00
416
100.00
417
DPSMtwo views100.00
421
100.00
418
100.00
418
100.00
416
100.00
416
100.00
416
100.00
417
100.00
416
100.00
415
100.00
417
100.00
416
100.00
419
100.00
416
100.00
418
100.00
419
100.00
415
100.00
417
100.00
415
100.00
416
100.00
416
100.00
417