task_path
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⌀ |
|---|---|---|---|---|---|
Trajectory Prediction > Out-of-Sight Trajectory Prediction
|
Vi-Fi Multi-modal Dataset
|
GRU
|
https://arxiv.org/abs/2404.02227v1
|
MSE-D
|
28.69
|
Trajectory Prediction > Out-of-Sight Trajectory Prediction
|
Vi-Fi Multi-modal Dataset
|
GRU
|
https://arxiv.org/abs/2404.02227v1
|
MSE-P
|
28.65
|
Trajectory Prediction > Out-of-Sight Trajectory Prediction
|
Vi-Fi Multi-modal Dataset
|
LSTM
|
https://arxiv.org/abs/2404.02227v1
|
SUM
|
116.01
|
Trajectory Prediction > Out-of-Sight Trajectory Prediction
|
Vi-Fi Multi-modal Dataset
|
LSTM
|
https://arxiv.org/abs/2404.02227v1
|
MSE-D
|
58.31
|
Trajectory Prediction > Out-of-Sight Trajectory Prediction
|
Vi-Fi Multi-modal Dataset
|
LSTM
|
https://arxiv.org/abs/2404.02227v1
|
MSE-P
|
57.7
|
Trajectory Prediction > Out-of-Sight Trajectory Prediction
|
Vi-Fi Multi-modal Dataset
|
ViTag
|
https://arxiv.org/abs/2404.02227v1
|
SUM
|
200.9
|
Trajectory Prediction > Out-of-Sight Trajectory Prediction
|
Vi-Fi Multi-modal Dataset
|
ViTag
|
https://arxiv.org/abs/2404.02227v1
|
MSE-D
|
100.53
|
Trajectory Prediction > Out-of-Sight Trajectory Prediction
|
Vi-Fi Multi-modal Dataset
|
ViTag
|
https://arxiv.org/abs/2404.02227v1
|
MSE-P
|
100.37
|
Depth Estimation
|
DCM
|
Bhattacharjee et al.
|
https://arxiv.org/abs/2110.03575v2
|
Abs Rel
|
0.251
|
Depth Estimation
|
DCM
|
Bhattacharjee et al.
|
https://arxiv.org/abs/2110.03575v2
|
Sq Rel
|
0.318
|
Depth Estimation
|
DCM
|
Bhattacharjee et al.
|
https://arxiv.org/abs/2110.03575v2
|
RMSE
|
0.971
|
Depth Estimation
|
DCM
|
Bhattacharjee et al.
|
https://arxiv.org/abs/2110.03575v2
|
RMSE log
|
0.305
|
Depth Estimation
|
DCM
|
MIDAS
|
https://arxiv.org/abs/1907.01341v3
|
Abs Rel
|
0.309
|
Depth Estimation
|
DCM
|
MIDAS
|
https://arxiv.org/abs/1907.01341v3
|
Sq Rel
|
0.381
|
Depth Estimation
|
DCM
|
MIDAS
|
https://arxiv.org/abs/1907.01341v3
|
RMSE
|
1.033
|
Depth Estimation
|
DCM
|
MIDAS
|
https://arxiv.org/abs/1907.01341v3
|
RMSE log
|
0.375
|
Depth Estimation
|
DCM
|
T2Net
|
http://arxiv.org/abs/1808.01454v1
|
Abs Rel
|
0.351
|
Depth Estimation
|
DCM
|
T2Net
|
http://arxiv.org/abs/1808.01454v1
|
Sq Rel
|
0.416
|
Depth Estimation
|
DCM
|
T2Net
|
http://arxiv.org/abs/1808.01454v1
|
RMSE
|
1.117
|
Depth Estimation
|
DCM
|
T2Net
|
http://arxiv.org/abs/1808.01454v1
|
RMSE log
|
0.415
|
Depth Estimation
|
ScanNetV2
|
Distill Any Depth
|
https://arxiv.org/abs/2502.19204v2
|
absolute relative error
|
0.042
|
Depth Estimation
|
ScanNetV2
|
Distill Any Depth
|
https://arxiv.org/abs/2502.19204v2
|
Delta < 1.25
|
0.980
|
Depth Estimation
|
ScanNetV2
|
DELTAS
|
https://arxiv.org/abs/2003.08933v2
|
absolute relative error
|
0.0932
|
Depth Estimation
|
ScanNetV2
|
DELTAS
|
https://arxiv.org/abs/2003.08933v2
|
Delta < 1.25
|
0.9287
|
Depth Estimation
|
ScanNetV2
|
LeReS
|
https://arxiv.org/abs/2012.09365v1
|
absolute relative error
|
0.095
|
Depth Estimation
|
Stanford2D3D Panoramic
|
HiMODE
|
https://arxiv.org/abs/2204.05007v1
|
RMSE
|
0.2619
|
Depth Estimation
|
Stanford2D3D Panoramic
|
HiMODE
|
https://arxiv.org/abs/2204.05007v1
|
absolute relative error
|
0.0532
|
Depth Estimation
|
Stanford2D3D Panoramic
|
FreDSNet
|
https://arxiv.org/abs/2210.01595v2
|
RMSE
|
0.2727
|
Depth Estimation
|
Stanford2D3D Panoramic
|
FreDSNet
|
https://arxiv.org/abs/2210.01595v2
|
absolute relative error
|
0.0952
|
Depth Estimation
|
Stanford2D3D Panoramic
|
NLFB
|
https://arxiv.org/abs/2109.10563v3
|
RMSE
|
0.2776
|
Depth Estimation
|
Stanford2D3D Panoramic
|
NLFB
|
https://arxiv.org/abs/2109.10563v3
|
absolute relative error
|
0.0649
|
Depth Estimation
|
Stanford2D3D Panoramic
|
PanoFormer
|
https://arxiv.org/abs/2203.09283v2
|
RMSE
|
0.3083
|
Depth Estimation
|
Stanford2D3D Panoramic
|
PanoFormer
|
https://arxiv.org/abs/2203.09283v2
|
absolute relative error
|
0.0405
|
Depth Estimation
|
Stanford2D3D Panoramic
|
ACDNet
|
https://arxiv.org/abs/2112.14440v2
|
RMSE
|
0.341
|
Depth Estimation
|
Stanford2D3D Panoramic
|
ACDNet
|
https://arxiv.org/abs/2112.14440v2
|
absolute relative error
|
0.0984
|
Depth Estimation
|
Stanford2D3D Panoramic
|
OmniFusion (2-iter)
|
https://arxiv.org/abs/2203.00838v2
|
RMSE
|
0.3474
|
Depth Estimation
|
Stanford2D3D Panoramic
|
OmniFusion (2-iter)
|
https://arxiv.org/abs/2203.00838v2
|
absolute relative error
|
0.095
|
Depth Estimation
|
Stanford2D3D Panoramic
|
GLPanoDepth
|
https://arxiv.org/abs/2202.02796v2
|
RMSE
|
0.3493
|
Depth Estimation
|
Stanford2D3D Panoramic
|
Neural Contourlet Network
|
https://arxiv.org/abs/2208.01817v1
|
RMSE
|
0.3528
|
Depth Estimation
|
Stanford2D3D Panoramic
|
Neural Contourlet Network
|
https://arxiv.org/abs/2208.01817v1
|
absolute relative error
|
0.0558
|
Depth Estimation
|
Stanford2D3D Panoramic
|
SliceNet
|
http://openaccess.thecvf.com//content/CVPR2021/html/Pintore_SliceNet_Deep_Dense_Depth_Estimation_From_a_Single_Indoor_Panorama_CVPR_2021_paper.html
|
RMSE
|
0.3684
|
Depth Estimation
|
Stanford2D3D Panoramic
|
SliceNet
|
http://openaccess.thecvf.com//content/CVPR2021/html/Pintore_SliceNet_Deep_Dense_Depth_Estimation_From_a_Single_Indoor_Panorama_CVPR_2021_paper.html
|
absolute relative error
|
0.0744
|
Depth Estimation
|
Stanford2D3D Panoramic
|
DisConv
|
http://openaccess.thecvf.com/content_ECCV_2018/html/Keisuke_Tateno_Distortion-Aware_Convolutional_Filters_ECCV_2018_paper.html
|
RMSE
|
0.369
|
Depth Estimation
|
Stanford2D3D Panoramic
|
DisConv
|
http://openaccess.thecvf.com/content_ECCV_2018/html/Keisuke_Tateno_Distortion-Aware_Convolutional_Filters_ECCV_2018_paper.html
|
absolute relative error
|
0.176
|
Depth Estimation
|
Stanford2D3D Panoramic
|
UniFuse with fusion
|
https://arxiv.org/abs/2102.03550v2
|
RMSE
|
0.3691
|
Depth Estimation
|
Stanford2D3D Panoramic
|
UniFuse with fusion
|
https://arxiv.org/abs/2102.03550v2
|
absolute relative error
|
0.1114
|
Depth Estimation
|
Stanford2D3D Panoramic
|
BiFuse++
|
https://arxiv.org/abs/2209.02952v1
|
RMSE
|
0.372
|
Depth Estimation
|
Stanford2D3D Panoramic
|
BiFuse++
|
https://arxiv.org/abs/2209.02952v1
|
absolute relative error
|
0.1117
|
Depth Estimation
|
Stanford2D3D Panoramic
|
PanoDepth
|
https://arxiv.org/abs/2202.01323v1
|
RMSE
|
0.3747
|
Depth Estimation
|
Stanford2D3D Panoramic
|
PanoDepth
|
https://arxiv.org/abs/2202.01323v1
|
absolute relative error
|
0.0972
|
Depth Estimation
|
Stanford2D3D Panoramic
|
HoHoNet (ResNet-101)
|
https://arxiv.org/abs/2011.11498v3
|
RMSE
|
0.3834
|
Depth Estimation
|
Stanford2D3D Panoramic
|
HoHoNet (ResNet-101)
|
https://arxiv.org/abs/2011.11498v3
|
absolute relative error
|
0.1014
|
Depth Estimation
|
Stanford2D3D Panoramic
|
BiFuse with fusion
|
http://openaccess.thecvf.com/content_CVPR_2020/html/Wang_BiFuse_Monocular_360_Depth_Estimation_via_Bi-Projection_Fusion_CVPR_2020_paper.html
|
RMSE
|
0.4142
|
Depth Estimation
|
Stanford2D3D Panoramic
|
BiFuse with fusion
|
http://openaccess.thecvf.com/content_CVPR_2020/html/Wang_BiFuse_Monocular_360_Depth_Estimation_via_Bi-Projection_Fusion_CVPR_2020_paper.html
|
absolute relative error
|
0.1209
|
Depth Estimation
|
Stanford2D3D Panoramic
|
Jin et al.
|
http://openaccess.thecvf.com/content_CVPR_2020/html/Jin_Geometric_Structure_Based_and_Regularized_Depth_Estimation_From_360_Indoor_CVPR_2020_paper.html
|
RMSE
|
0.421
|
Depth Estimation
|
Stanford2D3D Panoramic
|
SphereDepth
|
https://arxiv.org/abs/2208.13714v3
|
RMSE
|
0.4512
|
Depth Estimation
|
Stanford2D3D Panoramic
|
SphereDepth
|
https://arxiv.org/abs/2208.13714v3
|
absolute relative error
|
0.1158
|
Depth Estimation
|
Stanford2D3D Panoramic
|
OmniDepth
|
http://arxiv.org/abs/1807.09620v1
|
RMSE
|
0.6152
|
Depth Estimation
|
Stanford2D3D Panoramic
|
OmniDepth
|
http://arxiv.org/abs/1807.09620v1
|
absolute relative error
|
0.1996
|
Depth Estimation
|
Matterport3D
|
UniFuse
|
https://arxiv.org/abs/2102.03550v2
|
Abs Rel
|
0.1063
|
Depth Estimation
|
eBDtheque
|
Bhattacharjee et al.
|
https://arxiv.org/abs/2110.03575v2
|
Abs Rel
|
0.376
|
Depth Estimation
|
eBDtheque
|
Bhattacharjee et al.
|
https://arxiv.org/abs/2110.03575v2
|
Sq Rel
|
0.448
|
Depth Estimation
|
eBDtheque
|
Bhattacharjee et al.
|
https://arxiv.org/abs/2110.03575v2
|
RMSE
|
1.364
|
Depth Estimation
|
eBDtheque
|
Bhattacharjee et al.
|
https://arxiv.org/abs/2110.03575v2
|
RMSE log
|
0.553
|
Depth Estimation
|
eBDtheque
|
MIDAS
|
https://arxiv.org/abs/1907.01341v3
|
Abs Rel
|
0.419
|
Depth Estimation
|
eBDtheque
|
MIDAS
|
https://arxiv.org/abs/1907.01341v3
|
Sq Rel
|
0.503
|
Depth Estimation
|
eBDtheque
|
MIDAS
|
https://arxiv.org/abs/1907.01341v3
|
RMSE
|
1.416
|
Depth Estimation
|
eBDtheque
|
MIDAS
|
https://arxiv.org/abs/1907.01341v3
|
RMSE log
|
0.659
|
Depth Estimation
|
eBDtheque
|
T2Net
|
http://arxiv.org/abs/1808.01454v1
|
Abs Rel
|
0.491
|
Depth Estimation
|
eBDtheque
|
T2Net
|
http://arxiv.org/abs/1808.01454v1
|
Sq Rel
|
0.555
|
Depth Estimation
|
eBDtheque
|
T2Net
|
http://arxiv.org/abs/1808.01454v1
|
RMSE
|
1.459
|
Depth Estimation
|
eBDtheque
|
T2Net
|
http://arxiv.org/abs/1808.01454v1
|
RMSE log
|
0.777
|
Depth Estimation
|
Cityscapes test
|
SwinMTL
|
https://arxiv.org/abs/2403.10662v1
|
RMSE
|
6.352
|
Depth Estimation
|
Cityscapes test
|
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
|
6.917
|
Depth Estimation
|
4D Light Field Dataset
|
LFattNet
|
http://www.cmlab.csie.ntu.edu.tw/~r06922009/AAAI2020/aaai2020_LFattNet_camera_ready.pdf
|
BadPix(0.07)
|
3.756
|
Depth Estimation
|
4D Light Field Dataset
|
LFattNet
|
http://www.cmlab.csie.ntu.edu.tw/~r06922009/AAAI2020/aaai2020_LFattNet_camera_ready.pdf
|
MSE
|
1.904
|
Depth Estimation
|
4D Light Field Dataset
|
LFattNet
|
http://www.cmlab.csie.ntu.edu.tw/~r06922009/AAAI2020/aaai2020_LFattNet_camera_ready.pdf
|
BadPix(0.03)
|
6.823
|
Depth Estimation
|
4D Light Field Dataset
|
LFattNet
|
http://www.cmlab.csie.ntu.edu.tw/~r06922009/AAAI2020/aaai2020_LFattNet_camera_ready.pdf
|
BadPix(0.01)
|
17.226
|
Depth Estimation
|
Mars DTM Estimation
|
GLPDepth
|
https://www.mdpi.com/2072-4292/14/18/4619
|
Delta < 1.25
|
0.4324
|
Depth Estimation
|
Mars DTM Estimation
|
GLPDepth
|
https://www.mdpi.com/2072-4292/14/18/4619
|
Delta < 1.25^2
|
0.6667
|
Depth Estimation
|
Mars DTM Estimation
|
GLPDepth
|
https://www.mdpi.com/2072-4292/14/18/4619
|
Delta < 1.25^3
|
0.7949
|
Depth Estimation
|
Mars DTM Estimation
|
GLPDepth
|
https://www.mdpi.com/2072-4292/14/18/4619
|
Average PSNR
|
29.2636
|
Depth Estimation
|
Mars DTM Estimation
|
GLPDepth
|
https://www.mdpi.com/2072-4292/14/18/4619
|
mean absolute error
|
10.2905
|
Depth Estimation
|
Mars DTM Estimation
|
GLPDepth
|
https://www.mdpi.com/2072-4292/14/18/4619
|
RMSE
|
18.3042
|
Depth Estimation
|
Mars DTM Estimation
|
SRDINET (Model A)
|
https://www.mdpi.com/2072-4292/14/18/4619
|
Delta < 1.25
|
0.3967
|
Depth Estimation
|
Mars DTM Estimation
|
SRDINET (Model A)
|
https://www.mdpi.com/2072-4292/14/18/4619
|
Delta < 1.25^2
|
0.6731
|
Depth Estimation
|
Mars DTM Estimation
|
SRDINET (Model A)
|
https://www.mdpi.com/2072-4292/14/18/4619
|
Delta < 1.25^3
|
0.8208
|
Depth Estimation
|
Mars DTM Estimation
|
SRDINET (Model A)
|
https://www.mdpi.com/2072-4292/14/18/4619
|
Average PSNR
|
15.069
|
Depth Estimation
|
Mars DTM Estimation
|
SRDINET (Model A)
|
https://www.mdpi.com/2072-4292/14/18/4619
|
mean absolute error
|
0.1558
|
Depth Estimation
|
Mars DTM Estimation
|
SRDINET (Model A)
|
https://www.mdpi.com/2072-4292/14/18/4619
|
RMSE
|
0.1859
|
Depth Estimation
|
DIODE
|
AIP-Brown
|
https://arxiv.org/abs/2007.06153v1
|
Delta < 1.25^3
|
0.7945
|
Depth Estimation
|
DIODE
|
AIP-Brown
|
https://arxiv.org/abs/2007.06153v1
|
Delta < 1.25
|
0.3563
|
Depth Estimation
|
DIODE
|
AIP-Brown
|
https://arxiv.org/abs/2007.06153v1
|
Delta < 1.25^2
|
0.5948
|
Depth Estimation
|
DIODE
|
LeRes
|
https://arxiv.org/abs/2012.09365v1
|
Delta < 1.25
|
0.234
|
Depth Estimation
|
KITTI 2015
|
H-Net (Ours) Full Eigen
|
https://arxiv.org/abs/2104.11288v1
|
Absolute relative error (AbsRel)
|
0.076
|
Depth Estimation
|
KITTI 2015
|
H-Net (Ours) Full Eigen
|
https://arxiv.org/abs/2104.11288v1
|
Sq Rel
|
0.607
|
Depth Estimation
|
KITTI 2015
|
H-Net (Ours) Full Eigen
|
https://arxiv.org/abs/2104.11288v1
|
RMSE
|
0.04025
|
Depth Estimation
|
KITTI 2015
|
H-Net (Ours)
|
https://arxiv.org/abs/2104.11288v1
|
Absolute relative error (AbsRel)
|
0.094
|
Depth Estimation
|
KITTI 2015
|
H-Net (Ours)
|
https://arxiv.org/abs/2104.11288v1
|
Sq Rel
|
0.6
|
Depth Estimation
|
ScanNet
|
Atlas (plain)
|
https://arxiv.org/abs/2003.10432v3
|
RMSE
|
0.165
|
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