Spring: L. Mehl, J. Schmalfuss, A. Jahedi, Y. Nalivayko, A. Bruhn — University of Stuttgart
RobustSpring: V. Oei, J. Schmalfuss, L. Mehl, M. Bartsch, S. Agnihotri, M. Keuper, A. Bulling, A. Bruhn — University of Stuttgart, University of Mannheim, MPI for Informatics
Nov. 1, 2022, 2 p.m. — Public
đŸ’¡ submitted by spring team | G. Xu, J. Cheng, P. Guo, and X. Yang. "Attention Concatenation Volume for Accurate and Efficient Stereo Matching." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Code: https://github.com/gangweiX/ACVNet
| 1px total |
1px low-detail |
1px high-detail |
1px matched |
1px unmatched |
1px not sky |
1px sky |
1px s0-10 |
1px s10-40 |
1px s40+ |
|---|---|---|---|---|---|---|---|---|---|
| 14.772 | 14.432 | 35.273 | 12.600 | 57.894 | 11.163 | 69.621 | 18.386 | 11.346 | 18.145 |
| Abs total |
Abs low-detail |
Abs high-detail |
Abs matched |
Abs unmatched |
Abs not sky |
Abs sky |
Abs s0-10 |
Abs s10-40 |
Abs s40+ |
| 1.516 | 1.483 | 3.506 | 0.938 | 13.002 | 1.144 | 7.170 | 1.852 | 1.183 | 1.873 |
| D1 total |
D1 low-detail |
D1 high-detail |
D1 matched |
D1 unmatched |
D1 not sky |
D1 sky |
D1 s0-10 |
D1 s10-40 |
D1 s40+ |
| 5.346 | 5.266 | 10.178 | 3.804 | 35.948 | 4.586 | 16.895 | 5.618 | 5.310 | 4.938 |
| 1px total |
Abs total |
D1 total |
|---|---|---|
| 36.800 | 15.790 | 16.810 |
| Corruption | 1px | Abs | D1 |
|---|---|---|---|
| Brightness | 19.820 | 6.890 | 8.800 |
| Contrast | 19.330 | 8.340 | 9.880 |
| Saturate | 8.120 | 3.180 | 3.790 |
| Defocus Blur | 8.060 | 1.100 | 1.900 |
| Gaussian Blur | 9.290 | 1.550 | 2.380 |
| Glass Blur | 11.720 | 1.310 | 1.950 |
| Motion Blur | 9.720 | 1.130 | 2.070 |
| Zoom Blur | 64.760 | 6.430 | 9.320 |
| Gaussian Noise | 56.400 | 39.190 | 37.760 |
| Impulse Noise | 69.340 | 53.140 | 49.670 |
| Speckle Noise | 71.990 | 63.510 | 57.360 |
| Shot Noise | 59.560 | 42.200 | 41.100 |
| Pixelate | 57.290 | 4.140 | 4.980 |
| JPEG Compression | 60.870 | 15.980 | 15.160 |
| Elastic Transform | 58.390 | 8.170 | 7.290 |
| Fog | 17.990 | 17.700 | 12.120 |
| Frost | 39.790 | 8.150 | 19.270 |
| Rain | 34.620 | 12.920 | 18.480 |
| Snow | 40.960 | 18.620 | 29.030 |
| Spatter | 18.010 | 2.180 | 3.850 |
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