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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

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LEAStereo

Nov. 1, 2022, 2 p.m.  —  Public

đŸ’¡ submitted by spring team | X. Cheng, Y. Zhong, M. Harandi, Y. Dai, X. Chang, H. Li, T. Drummond, and Z. Ge. "Hierarchical Neural Architecture Search for Deep Stereo Matching." In NeurIPS, 2020.

Code: https://github.com/XuelianCheng/LEAStereo

Stereo

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+
19.888 19.547 40.396 17.611 65.086 16.735 67.805 19.076 13.861 39.412
 
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+
3.884 3.850 5.934 2.795 25.485 2.443 25.771 5.440 1.759 7.272
 
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+
9.194 9.116 13.884 7.321 46.378 7.417 36.191 9.609 6.293 17.062

Robustness Evaluation (Overall)

1px
total
Abs
total
D1
total
40.950 21.900 20.770

Robustness per Corruption

Robustness Evaluation (Per-Corruption)

Corruption 1px Abs D1
Brightness 6.380 1.270 1.780
Contrast 19.000 3.330 6.450
Saturate 6.430 1.240 1.710
Defocus Blur 8.550 2.020 2.490
Gaussian Blur 9.640 2.160 2.650
Glass Blur 11.560 2.170 2.550
Motion Blur 10.590 1.820 2.740
Zoom Blur 63.520 6.380 9.740
Gaussian Noise 80.740 80.890 62.280
Impulse Noise 85.390 85.240 65.420
Speckle Noise 84.060 84.540 65.370
Shot Noise 79.410 76.530 59.940
Pixelate 35.190 3.850 4.110
JPEG Compression 55.180 9.200 10.840
Elastic Transform 71.960 8.020 10.920
Fog 17.950 14.250 10.880
Frost 38.430 7.280 18.510
Rain 56.550 22.140 34.580
Snow 47.030 20.510 32.230
Spatter 31.430 5.130 10.190
reference frame
Reference Frame
color visualization of disparity 1
Disparity 1 visualization
grayscale visualization of disparity 1 error
Disparity 1 error
reference frame
Reference Frame
color visualization of disparity 1
Disparity 1 visualization
grayscale visualization of disparity 1 error
Disparity 1 error
reference frame
Reference Frame
color visualization of disparity 1
Disparity 1 visualization
grayscale visualization of disparity 1 error
Disparity 1 error
reference frame
Reference Frame
color visualization of disparity 1
Disparity 1 visualization
grayscale visualization of disparity 1 error
Disparity 1 error
reference frame
Reference Frame
color visualization of disparity 1
Disparity 1 visualization
grayscale visualization of disparity 1 error
Disparity 1 error
reference frame
Reference Frame
color visualization of disparity 1
Disparity 1 visualization
grayscale visualization of disparity 1 error
Disparity 1 error
reference frame
Reference Frame
color visualization of disparity 1
Disparity 1 visualization
grayscale visualization of disparity 1 error
Disparity 1 error
reference frame
Reference Frame
color visualization of disparity 1
Disparity 1 visualization
grayscale visualization of disparity 1 error
Disparity 1 error
reference frame
Reference Frame
color visualization of disparity 1
Disparity 1 visualization
grayscale visualization of disparity 1 error
Disparity 1 error
reference frame
Reference Frame
color visualization of disparity 1
Disparity 1 visualization
grayscale visualization of disparity 1 error
Disparity 1 error
Error visualization color code
blue to white to red error visualization color code