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⌀ |
|---|---|---|---|---|---|
Depth Estimation > Monocular Depth Estimation
|
Hypersim
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
absolute relative error
|
0.381
|
Depth Estimation > Monocular Depth Estimation
|
Hypersim
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
RMSE
|
4.825
|
Depth Estimation > Monocular Depth Estimation
|
Virtual KITTI 2
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
Delta < 1.25
|
0.834
|
Depth Estimation > Monocular Depth Estimation
|
Virtual KITTI 2
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
absolute relative error
|
0.12
|
Depth Estimation > Monocular Depth Estimation
|
Virtual KITTI 2
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
RMSE
|
4.747
|
Depth Estimation > Monocular Depth Estimation
|
DIML Outdoor
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
Delta < 1.25
|
0.058
|
Depth Estimation > Monocular Depth Estimation
|
DIML Outdoor
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
absolute relative error
|
1.007
|
Depth Estimation > Monocular Depth Estimation
|
DIML Outdoor
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
RMSE
|
4.344
|
Depth Estimation > Monocular Depth Estimation
|
DIODE Outdoor
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
Delta < 1.25
|
0.262
|
Depth Estimation > Monocular Depth Estimation
|
DIODE Outdoor
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
absolute relative error
|
0.562
|
Depth Estimation > Monocular Depth Estimation
|
DIODE Outdoor
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
RMSE
|
8.632
|
Depth Estimation > Stereo Depth Estimation
|
Spring
|
ACVNet
|
https://arxiv.org/abs/2203.02146v3
|
1px total
|
14.772
|
Depth Estimation > Stereo Depth Estimation
|
Spring
|
RAFT-Stereo
|
https://arxiv.org/abs/2109.07547v1
|
1px total
|
15.273
|
Depth Estimation > Stereo Depth Estimation
|
Spring
|
LEA-Stereo
|
https://arxiv.org/abs/2010.13501v1
|
1px total
|
19.888
|
Depth Estimation > Stereo Depth Estimation
|
Spring
|
GA-Net
|
http://arxiv.org/abs/1904.06587v1
|
1px total
|
23.225
|
Depth Estimation > Stereo Depth Estimation
|
KITTI2012
|
AnyNet
|
http://arxiv.org/abs/1810.11408v2
|
three pixel error
|
6.1
|
Depth Estimation > Stereo Depth Estimation
|
KITTI 2015
|
MoCha-Stereo
|
https://arxiv.org/abs/2404.06842v4
|
D1-all All
|
1.53
|
Depth Estimation > Stereo Depth Estimation
|
KITTI 2015
|
MoCha-Stereo
|
https://arxiv.org/abs/2404.06842v4
|
D1-all Noc
|
1.44
|
Depth Estimation > Stereo Depth Estimation
|
KITTI 2015
|
TriStereoNet
|
https://arxiv.org/abs/2111.12502v2
|
D1-all All
|
2.35
|
Depth Estimation > Stereo Depth Estimation
|
KITTI 2015
|
TriStereoNet
|
https://arxiv.org/abs/2111.12502v2
|
D1-all Noc
|
2.09
|
Depth Estimation > Stereo Depth Estimation
|
sceneflow
|
3D-MobileStereoNet
|
https://arxiv.org/abs/2108.09770v1
|
Average End-Point Error
|
0.80
|
Depth Estimation > Stereo Depth Estimation
|
sceneflow
|
3D-MobileStereoNet
|
https://arxiv.org/abs/2108.09770v1
|
EPE
|
0.80
|
Depth Estimation > Stereo Depth Estimation
|
sceneflow
|
stereonet
|
http://arxiv.org/abs/1807.08865v1
|
Average End-Point Error
|
1.1
|
Depth Estimation > Stereo Depth Estimation
|
sceneflow
|
2D-MobileStereoNet
|
https://arxiv.org/abs/2108.09770v1
|
Average End-Point Error
|
1.14
|
Depth Estimation > Stereo Depth Estimation
|
sceneflow
|
2D-MobileStereoNet
|
https://arxiv.org/abs/2108.09770v1
|
EPE
|
1.14
|
Depth Estimation > Stereo Depth Estimation
|
KITTI2015
|
AnyNet
|
http://arxiv.org/abs/1810.11408v2
|
three pixel error
|
6.2
|
Depth Estimation > Stereo Depth Estimation
|
KITTI2015
|
3D-MobileStereoNet
|
https://arxiv.org/abs/2108.09770v1
|
three pixel error
|
1.69
|
Depth Estimation > Stereo Depth Estimation
|
KITTI2015
|
CDN-GANet Deep
|
https://arxiv.org/abs/2007.03085v2
|
three pixel error
|
1.92
|
Depth Estimation > Stereo Depth Estimation
|
KITTI2015
|
HITNET
|
https://arxiv.org/abs/2007.12140v5
|
three pixel error
|
2.43
|
Depth Estimation > Stereo Depth Estimation
|
KITTI2015
|
2D-MobileStereoNet
|
https://arxiv.org/abs/2108.09770v1
|
three pixel error
|
2.67
|
Depth Estimation > Stereo Depth Estimation
|
KITTI2015
|
TriStereoNet
|
https://arxiv.org/abs/2111.12502v2
|
D1-all All
|
2.35
|
Depth Estimation > Stereo Depth Estimation
|
KITTI2015
|
TriStereoNet
|
https://arxiv.org/abs/2111.12502v2
|
D1-all Noc
|
2.09
|
Depth Estimation > Stereo Depth Estimation
|
KITTI2015
|
ChiTransformer
|
http://openaccess.thecvf.com//content/CVPR2022/html/Su_Chitransformer_Towards_Reliable_Stereo_From_Cues_CVPR_2022_paper.html
|
D1-all All
|
2.60 (self-sup.)
|
Depth Estimation > Stereo Depth Estimation
|
KITTI2015
|
ChiTransformer
|
http://openaccess.thecvf.com//content/CVPR2022/html/Su_Chitransformer_Towards_Reliable_Stereo_From_Cues_CVPR_2022_paper.html
|
D1-all Noc
|
2.38 (self-sup.)
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
DFI-OmniStereo
|
https://arxiv.org/abs/2503.23502v1
|
Depth-MAE
|
1.463
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
DFI-OmniStereo
|
https://arxiv.org/abs/2503.23502v1
|
Depth-RMSE
|
3.767
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
DFI-OmniStereo
|
https://arxiv.org/abs/2503.23502v1
|
Depth-MARE
|
0.108
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
DFI-OmniStereo
|
https://arxiv.org/abs/2503.23502v1
|
Depth-LRCE
|
0.397
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
DFI-OmniStereo
|
https://arxiv.org/abs/2503.23502v1
|
Disp-MAE
|
0.158
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
DFI-OmniStereo
|
https://arxiv.org/abs/2503.23502v1
|
Disp-RMSE
|
0.338
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
DFI-OmniStereo
|
https://arxiv.org/abs/2503.23502v1
|
Disp-MARE
|
0.120
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
DFI-OmniStereo
|
https://arxiv.org/abs/2503.23502v1
|
Disp-LRCE
|
0.058
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360-IGEV-Stereo
|
https://arxiv.org/abs/2411.18335v2
|
Depth-MAE
|
1.720
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360-IGEV-Stereo
|
https://arxiv.org/abs/2411.18335v2
|
Depth-RMSE
|
4.297
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360-IGEV-Stereo
|
https://arxiv.org/abs/2411.18335v2
|
Depth-MARE
|
0.130
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360-IGEV-Stereo
|
https://arxiv.org/abs/2411.18335v2
|
Depth-LRCE
|
0.388
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360-IGEV-Stereo
|
https://arxiv.org/abs/2411.18335v2
|
Disp-MAE
|
0.188
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360-IGEV-Stereo
|
https://arxiv.org/abs/2411.18335v2
|
Disp-RMSE
|
0.404
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360-IGEV-Stereo
|
https://arxiv.org/abs/2411.18335v2
|
Disp-MARE
|
0.146
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360-IGEV-Stereo
|
https://arxiv.org/abs/2411.18335v2
|
Disp-LRCE
|
0.054
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
IGEV-Stereo
|
https://arxiv.org/abs/2303.06615v2
|
Depth-MAE
|
1.860
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
IGEV-Stereo
|
https://arxiv.org/abs/2303.06615v2
|
Depth-RMSE
|
4.474
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
IGEV-Stereo
|
https://arxiv.org/abs/2303.06615v2
|
Depth-MARE
|
0.146
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
IGEV-Stereo
|
https://arxiv.org/abs/2303.06615v2
|
Depth-LRCE
|
1.203
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
IGEV-Stereo
|
https://arxiv.org/abs/2303.06615v2
|
Disp-MAE
|
0.225
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
IGEV-Stereo
|
https://arxiv.org/abs/2303.06615v2
|
Disp-RMSE
|
0.423
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
IGEV-Stereo
|
https://arxiv.org/abs/2303.06615v2
|
Disp-MARE
|
0.172
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360SD-Net
|
https://arxiv.org/abs/1911.04460v2
|
Depth-MAE
|
2.112
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360SD-Net
|
https://arxiv.org/abs/1911.04460v2
|
Depth-RMSE
|
5.077
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360SD-Net
|
https://arxiv.org/abs/1911.04460v2
|
Depth-MARE
|
0.152
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360SD-Net
|
https://arxiv.org/abs/1911.04460v2
|
Depth-LRCE
|
0.904
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360SD-Net
|
https://arxiv.org/abs/1911.04460v2
|
Disp-MAE
|
0.224
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360SD-Net
|
https://arxiv.org/abs/1911.04460v2
|
Disp-RMSE
|
0.419
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
360SD-Net
|
https://arxiv.org/abs/1911.04460v2
|
Disp-MARE
|
0.191
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
PSMNet
|
http://arxiv.org/abs/1803.08669v1
|
Depth-MAE
|
2.509
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
PSMNet
|
http://arxiv.org/abs/1803.08669v1
|
Depth-RMSE
|
5.673
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
PSMNet
|
http://arxiv.org/abs/1803.08669v1
|
Depth-MARE
|
0.176
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
PSMNet
|
http://arxiv.org/abs/1803.08669v1
|
Depth-LRCE
|
1.809
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
PSMNet
|
http://arxiv.org/abs/1803.08669v1
|
Disp-MAE
|
0.286
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
PSMNet
|
http://arxiv.org/abs/1803.08669v1
|
Disp-RMSE
|
0.496
|
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation
|
Helvipad
|
PSMNet
|
http://arxiv.org/abs/1803.08669v1
|
Disp-MARE
|
0.248
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
MLFP
|
MCCNN (BCE+OCCL)-GMM
|
https://arxiv.org/abs/2007.11457v1
|
HTER
|
3.4
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
CASIA-MFSD
|
3D Synthesis (balancing sampling)
|
https://arxiv.org/abs/1901.00488v3
|
EER
|
2.22
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
CASIA-MFSD
|
3D Synthesis (balancing sampling)
|
https://arxiv.org/abs/1901.00488v3
|
HTER
|
1.67
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
CASIA-MFSD
|
Multi-Scale
|
https://arxiv.org/abs/1408.5601v2
|
EER
|
4.92
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW-Enroll5
|
ResNet18 Personalized
|
https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html
|
AUC
|
99.2
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW-Enroll5
|
FeatherNet Personalized
|
https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html
|
AUC
|
99.0
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW-Enroll5
|
FeatherNet
|
http://arxiv.org/abs/1904.09290v1
|
AUC
|
98.9
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW-Enroll5
|
VGG16 Personalized
|
https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html
|
AUC
|
98.1
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW-Enroll5
|
VGG16
|
http://arxiv.org/abs/1409.1556v6
|
AUC
|
97.8
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
OULU-NPU
|
Bi-FPNFAS
|
https://www.mdpi.com/1424-8220/21/8/2799/htm
|
ACER
|
2.92
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
OULU-NPU
|
Entry-V2
|
https://arxiv.org/abs/2206.06510v1
|
ACER
|
3.2
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
OULU-NPU
|
Entry-V2
|
https://arxiv.org/abs/2206.06510v1
|
HTER
|
2.6
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
OULU-NPU
|
A-DeepPixBis
|
https://ieeexplore.ieee.org/abstract/document/9363382
|
ACER
|
5.22
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
OULU-NPU
|
CDCN
|
https://arxiv.org/abs/2003.04092v1
|
ACER
|
6.9
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
CelebA-Spoof-Enroll5
|
ResNet 18 Personalized
|
https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html
|
AUC
|
99.2
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
CelebA-Spoof-Enroll5
|
VGG16 Personalized
|
https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html
|
AUC
|
98.6
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
CelebA-Spoof-Enroll5
|
VGG16
|
http://arxiv.org/abs/1409.1556v6
|
AUC
|
98.0
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
CelebA-Spoof-Enroll5
|
FeatherNet Personalized
|
https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html
|
AUC
|
97.8
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
CelebA-Spoof-Enroll5
|
FeatherNet
|
http://arxiv.org/abs/1904.09290v1
|
AUC
|
97.1
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW (Protocol 3)
|
FasTCo + OAP
|
https://arxiv.org/abs/2207.12272v1
|
ACER
|
21.7
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW (Protocol 3)
|
ResNet50 + OAP
|
https://arxiv.org/abs/2207.12272v1
|
ACER
|
22.9
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW (Protocol 3)
|
FeatherNet + OAP
|
https://arxiv.org/abs/2207.12272v1
|
ACER
|
24.3
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW (Protocol 3)
|
FasTCo
|
https://arxiv.org/abs/2006.06756v1
|
ACER
|
28.7
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW (Protocol 3)
|
CDCN++ + OAP
|
https://arxiv.org/abs/2207.12272v1
|
ACER
|
28.7
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW (Protocol 3)
|
FeatherNet
|
http://arxiv.org/abs/1904.09290v1
|
ACER
|
31.1
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
SiW (Protocol 3)
|
CDCN++
|
https://arxiv.org/abs/2003.04092v1
|
ACER
|
40.2
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
Replay-Attack
|
Entry-V2
|
https://arxiv.org/abs/2206.06510v1
|
EER
|
0
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
Replay-Attack
|
Entry-V2
|
https://arxiv.org/abs/2206.06510v1
|
HTER
|
0
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
Replay-Attack
|
3D Synthesis (balancing sampling)
|
https://arxiv.org/abs/1901.00488v3
|
EER
|
0.25
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Subsets and Splits
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