task_path
stringlengths 3
199
⌀ | dataset
stringlengths 1
128
⌀ | model_name
stringlengths 1
223
⌀ | paper_url
stringlengths 21
601
⌀ | metric_name
stringlengths 1
50
⌀ | metric_value
stringlengths 1
9.22k
⌀ |
|---|---|---|---|---|---|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
P3Depth
|
https://arxiv.org/abs/2204.02091v1
|
absolute relative error
|
0.104
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
P3Depth
|
https://arxiv.org/abs/2204.02091v1
|
Delta < 1.25
|
0.898
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
P3Depth
|
https://arxiv.org/abs/2204.02091v1
|
Delta < 1.25^2
|
0.981
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
P3Depth
|
https://arxiv.org/abs/2204.02091v1
|
Delta < 1.25^3
|
0.996
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
P3Depth
|
https://arxiv.org/abs/2204.02091v1
|
log 10
|
0.043
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
CutDepth
|
https://arxiv.org/abs/2107.07684v1
|
RMSE
|
0.375
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
CutDepth
|
https://arxiv.org/abs/2107.07684v1
|
absolute relative error
|
0.104
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
CutDepth
|
https://arxiv.org/abs/2107.07684v1
|
Delta < 1.25
|
0.899
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
CutDepth
|
https://arxiv.org/abs/2107.07684v1
|
Delta < 1.25^2
|
0.985
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
CutDepth
|
https://arxiv.org/abs/2107.07684v1
|
Delta < 1.25^3
|
0.997
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
CutDepth
|
https://arxiv.org/abs/2107.07684v1
|
log 10
|
0.044
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
LapDepth
|
https://ieeexplore.ieee.org/document/9316778
|
RMSE
|
0.384
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
LapDepth
|
https://ieeexplore.ieee.org/document/9316778
|
absolute relative error
|
0.105
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
LapDepth
|
https://ieeexplore.ieee.org/document/9316778
|
Delta < 1.25
|
0.895
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
LapDepth
|
https://ieeexplore.ieee.org/document/9316778
|
Delta < 1.25^2
|
0.983
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
LapDepth
|
https://ieeexplore.ieee.org/document/9316778
|
Delta < 1.25^3
|
0.996
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
LapDepth
|
https://ieeexplore.ieee.org/document/9316778
|
log 10
|
0.045
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
DPT-Hybrid
|
https://arxiv.org/abs/2103.13413v1
|
RMSE
|
0.357
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
DPT-Hybrid
|
https://arxiv.org/abs/2103.13413v1
|
absolute relative error
|
0.110
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
DPT-Hybrid
|
https://arxiv.org/abs/2103.13413v1
|
Delta < 1.25
|
0.904
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
DPT-Hybrid
|
https://arxiv.org/abs/2103.13413v1
|
Delta < 1.25^2
|
0.988
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
DPT-Hybrid
|
https://arxiv.org/abs/2103.13413v1
|
Delta < 1.25^3
|
0.994
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
DPT-Hybrid
|
https://arxiv.org/abs/2103.13413v1
|
log 10
|
0.045
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
VNL
|
https://arxiv.org/abs/1907.12209v2
|
RMSE
|
0.416
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
VNL
|
https://arxiv.org/abs/1907.12209v2
|
absolute relative error
|
0.111
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
VNL
|
https://arxiv.org/abs/1907.12209v2
|
Delta < 1.25
|
0.875
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
VNL
|
https://arxiv.org/abs/1907.12209v2
|
Delta < 1.25^2
|
0.976
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
VNL
|
https://arxiv.org/abs/1907.12209v2
|
Delta < 1.25^3
|
0.989
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
VNL
|
https://arxiv.org/abs/1907.12209v2
|
log 10
|
0.048
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
Focal-WNet
|
https://ieeexplore.ieee.org/abstract/document/9824488
|
RMSE
|
0.398
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
Focal-WNet
|
https://ieeexplore.ieee.org/abstract/document/9824488
|
absolute relative error
|
0.116
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
Focal-WNet
|
https://ieeexplore.ieee.org/abstract/document/9824488
|
Delta < 1.25
|
0.875
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
Focal-WNet
|
https://ieeexplore.ieee.org/abstract/document/9824488
|
Delta < 1.25^2
|
0.980
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
Focal-WNet
|
https://ieeexplore.ieee.org/abstract/document/9824488
|
Delta < 1.25^3
|
0.995
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
Focal-WNet
|
https://ieeexplore.ieee.org/abstract/document/9824488
|
log 10
|
0.048
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
SC-DepthV2
|
https://arxiv.org/abs/2006.02708v2
|
RMSE
|
0.532
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
SC-DepthV2
|
https://arxiv.org/abs/2006.02708v2
|
absolute relative error
|
0.138
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
SC-DepthV2
|
https://arxiv.org/abs/2006.02708v2
|
Delta < 1.25
|
0.820
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
SC-DepthV2
|
https://arxiv.org/abs/2006.02708v2
|
Delta < 1.25^2
|
0.956
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
SC-DepthV2
|
https://arxiv.org/abs/2006.02708v2
|
log 10
|
0.059
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
NVS-MonoDepth
|
https://arxiv.org/abs/2112.12577v1
|
RMSE
|
0.331
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
BTS
|
https://arxiv.org/abs/1907.10326v6
|
RMSE
|
0.392
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
BTS
|
https://arxiv.org/abs/1907.10326v6
|
Delta < 1.25^3
|
0.995
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
DSN
|
https://arxiv.org/abs/2010.06626v2
|
RMSE
|
0.429
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
DenseDepth
|
http://arxiv.org/abs/1812.11941v2
|
RMSE
|
0.465
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
ACAN
|
http://arxiv.org/abs/1901.10137v1
|
RMSE
|
0.496
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
SharpNet
|
https://arxiv.org/abs/1905.08598v3
|
RMSE
|
0.496
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
PAP-Depth
|
https://arxiv.org/abs/1906.03525v1
|
RMSE
|
0.497
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
SDC-Depth
|
http://openaccess.thecvf.com/content_CVPR_2020/html/Wang_SDC-Depth_Semantic_Divide-and-Conquer_Network_for_Monocular_Depth_Estimation_CVPR_2020_paper.html
|
RMSE
|
0.497
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
DORN
|
http://arxiv.org/abs/1806.02446v1
|
RMSE
|
0.509
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
SARPN
|
https://arxiv.org/abs/1907.06023v1
|
RMSE
|
0.514
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
InvPT
|
https://arxiv.org/abs/2203.07997v3
|
RMSE
|
0.5183
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
FastDenseNas-arch0
|
https://arxiv.org/abs/1810.10804v3
|
RMSE
|
0.523
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
FastDenseNas-arch2
|
https://arxiv.org/abs/1810.10804v3
|
RMSE
|
0.525
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
FastDenseNas-arch1
|
https://arxiv.org/abs/1810.10804v3
|
RMSE
|
0.526
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
SENet-154
|
http://arxiv.org/abs/1803.08673v2
|
RMSE
|
0.530
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
ProbMonoDepth
|
https://arxiv.org/abs/1906.05739v2
|
RMSE
|
0.536
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
RelativeDepth
|
http://openaccess.thecvf.com/content_CVPR_2019/html/Lee_Monocular_Depth_Estimation_Using_Relative_Depth_Maps_CVPR_2019_paper.html
|
RMSE
|
0.538
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
PGT (Swin-S)
|
https://arxiv.org/abs/2307.15362v1
|
RMSE
|
0.5468
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
Index Network
|
https://arxiv.org/abs/1908.09895v2
|
RMSE
|
0.565
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
Multi-Task Light-Weight-RefineNet
|
http://arxiv.org/abs/1809.04766v2
|
RMSE
|
0.565
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
DeepLabV3+ (F10)
|
https://arxiv.org/abs/2001.05036v1
|
RMSE
|
0.575
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
Xu et al.
|
http://arxiv.org/abs/1704.02157v1
|
RMSE
|
0.586
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
PGT (Swin-T)
|
https://arxiv.org/abs/2307.15362v1
|
RMSE
|
0.59
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
SOM
|
https://arxiv.org/abs/1909.04594v1
|
RMSE
|
0.604
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
Li et al.
|
http://arxiv.org/abs/1607.00730v4
|
RMSE
|
0.635
|
Depth Estimation > Monocular Depth Estimation
|
NYU-Depth V2
|
Eigen et al.
|
http://arxiv.org/abs/1411.4734v4
|
RMSE
|
0.641
|
Depth Estimation > Monocular Depth Estimation
|
Matterport3D
|
NeWCRFs
|
https://arxiv.org/abs/2203.01502v2
|
absolute relative error
|
0.0793
|
Depth Estimation > Monocular Depth Estimation
|
Matterport3D
|
NeWCRFs
|
https://arxiv.org/abs/2203.01502v2
|
absolute error
|
0.197
|
Depth Estimation > Monocular Depth Estimation
|
Matterport3D
|
NeWCRFs
|
https://arxiv.org/abs/2203.01502v2
|
RMSE
|
0.4279
|
Depth Estimation > Monocular Depth Estimation
|
Matterport3D
|
NeWCRFs
|
https://arxiv.org/abs/2203.01502v2
|
Delta < 1.25
|
0.9376
|
Depth Estimation > Monocular Depth Estimation
|
Matterport3D
|
NeWCRFs
|
https://arxiv.org/abs/2203.01502v2
|
Delta < 1.25^2
|
0.9812
|
Depth Estimation > Monocular Depth Estimation
|
Matterport3D
|
NeWCRFs
|
https://arxiv.org/abs/2203.01502v2
|
Delta < 1.25^3
|
0.9933
|
Depth Estimation > Monocular Depth Estimation
|
UASOL
|
FCRN-DepthPrediction from Iro Laina et al. (2016)
|
https://www.nature.com/articles/s41597-019-0168-5
|
RMSE
|
8.119
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
Miangoleh et al. (SGR)
|
https://arxiv.org/abs/2105.14021v1
|
ORD
|
0.3938
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
Miangoleh et al. (SGR)
|
https://arxiv.org/abs/2105.14021v1
|
D3R
|
0.3222
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
Miangoleh et al. (SGR)
|
https://arxiv.org/abs/2105.14021v1
|
RMSE
|
0.1598
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
Miangoleh et al. (SGR)
|
https://arxiv.org/abs/2105.14021v1
|
δ1.25
|
0.6390
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
Miangoleh et al. (MiDaS)
|
https://arxiv.org/abs/2105.14021v1
|
ORD
|
0.5538
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
Miangoleh et al. (MiDaS)
|
https://arxiv.org/abs/2105.14021v1
|
D3R
|
0.4671
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
Miangoleh et al. (MiDaS)
|
https://arxiv.org/abs/2105.14021v1
|
RMSE
|
0.1965
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
Miangoleh et al. (MiDaS)
|
https://arxiv.org/abs/2105.14021v1
|
δ1.25
|
0.7460
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
RMSE
|
0.59
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
δ1.25
|
0.778
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
ScaleDepth-NK
|
https://arxiv.org/abs/2407.08187v1
|
absolute relative error
|
0.164
|
Depth Estimation > Monocular Depth Estimation
|
IBims-1
|
Metric3D-v2(L, ZS)
|
https://arxiv.org/abs/2404.15506v4
|
δ1.25
|
0.969
|
Depth Estimation > Monocular Depth Estimation
|
KITTI
|
MonoViT
|
https://arxiv.org/abs/2208.03543v1
|
absolute relative error
|
0.093
|
Depth Estimation > Monocular Depth Estimation
|
KITTI
|
GCNDepth
|
https://arxiv.org/abs/2112.06782v1
|
absolute relative error
|
0.104
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
Distill Any Depth
|
https://arxiv.org/abs/2502.19204v2
|
Delta < 1.25
|
0.981
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
Distill Any Depth
|
https://arxiv.org/abs/2502.19204v2
|
absolute relative error
|
0.054
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
DepthMaster
|
https://arxiv.org/abs/2501.02576v1
|
Delta < 1.25
|
0.974
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
DepthMaster
|
https://arxiv.org/abs/2501.02576v1
|
absolute relative error
|
0.053
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
PrimeDepth
|
https://arxiv.org/abs/2409.09144v1
|
Delta < 1.25
|
0.967
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
PrimeDepth
|
https://arxiv.org/abs/2409.09144v1
|
absolute relative error
|
0.068
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
Depth Anything
|
https://arxiv.org/abs/2401.10891v2
|
Delta < 1.25
|
0.882
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
Depth Anything
|
https://arxiv.org/abs/2401.10891v2
|
absolute relative error
|
0.0127
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
MiDaS 3.1
|
https://arxiv.org/abs/2307.14460v1
|
Delta < 1.25
|
0.867
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
MiDaS 3.1
|
https://arxiv.org/abs/2307.14460v1
|
absolute relative error
|
0.0139
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
Marigold
|
https://arxiv.org/abs/2312.02145v2
|
Delta < 1.25
|
0.0960
|
Depth Estimation > Monocular Depth Estimation
|
ETH3D
|
Marigold
|
https://arxiv.org/abs/2312.02145v2
|
absolute relative error
|
0.065
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.