Spring Dataset and Benchmark Logo

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

Not logged in | Login | Create Account

LEAStereo (K)

March 7, 2025, 12:32 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.

 

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+
47.496 47.429 51.562 45.766 81.844 44.063 99.669 78.982 31.228 36.339
 
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+
6.145 6.112 8.080 5.392 21.080 2.893 55.566 13.823 1.864 4.357
 
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+
17.163 17.103 20.756 15.134 57.438 11.781 98.954 32.624 9.798 9.824

Robustness Evaluation (Overall)

1px
total
Abs
total
D1
total
50.020 8.240 14.040

Robustness per Corruption

Robustness Evaluation (Per-Corruption)

Corruption 1px Abs D1
Brightness 11.570 2.020 3.730
Contrast 18.230 2.860 5.630
Saturate 13.570 3.050 4.640
Defocus Blur 29.310 3.260 5.210
Gaussian Blur 48.950 3.680 5.540
Glass Blur 70.010 4.790 6.360
Motion Blur 20.040 2.440 4.770
Zoom Blur 74.920 8.840 16.830
Gaussian Noise 65.130 15.230 24.530
Impulse Noise 69.030 17.240 25.470
Speckle Noise 66.230 15.680 24.310
Shot Noise 64.060 14.290 22.950
Pixelate 57.190 3.720 4.830
JPEG Compression 68.220 5.630 7.970
Elastic Transform 93.400 7.160 8.900
Fog 23.360 8.180 12.900
Frost 53.980 12.370 23.890
Rain 65.450 12.540 28.620
Snow 52.160 13.880 29.400
Spatter 35.540 7.930 14.240
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