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Models/GLPDepth

GLPDepth

Reported on 36 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision18 results

Depth EstimationonNYU-Depth V2
Delta < 1.25· 2022-01-19
0.915
best: 0.989 (UniK3D (FT, metric))
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonNYU-Depth V2
Delta < 1.25^2· 2022-01-19
0.988
best: 1 (HybridDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonNYU-Depth V2
Delta < 1.25^3· 2022-01-19
0.997
best: 1 (HybridDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonNYU-Depth V2
RMSE· 2022-01-19
0.344
best: 0.013 (Defocus/DepthNet (Normalized))
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonNYU-Depth V2
absolute relative error· 2022-01-19
0.098
best: 0.026 (HybridDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonNYU-Depth V2
log 10· 2022-01-19
0.042
best: 0.059 (SC-DepthV2)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonKITTI Eigen split
Delta < 1.25· 2022-01-19
0.967
best: 0.99 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonKITTI Eigen split
Delta < 1.25^2· 2022-01-19
0.996
best: 0.999 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonKITTI Eigen split
Delta < 1.25^3· 2022-01-19
0.999
best: 1 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonKITTI Eigen split
RMSE· 2022-01-19
2.297
best: 1.394 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonKITTI Eigen split
RMSE log· 2022-01-19
0.086
best: 0.048 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonKITTI Eigen split
absolute relative error· 2022-01-19
0.057
best: 0.029 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
Depth EstimationonMars DTM Estimation
Average PSNR
29.2636
Depth EstimationonMars DTM Estimation
Delta < 1.25
0.4324
Depth EstimationonMars DTM Estimation
Delta < 1.25^2
0.6667
best: 0.6731 (SRDINET (Model A))
Depth EstimationonMars DTM Estimation
Delta < 1.25^3
0.7949
best: 0.8208 (SRDINET (Model A))
Depth EstimationonMars DTM Estimation
RMSE
18.3042
best: 0.1859 (SRDINET (Model A))
Depth EstimationonMars DTM Estimation
mean absolute error
10.2905
best: 0.1558 (SRDINET (Model A))

Methodology18 results

3DonNYU-Depth V2
Delta < 1.25· 2022-01-19
0.915
best: 0.989 (UniK3D (FT, metric))
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonNYU-Depth V2
Delta < 1.25^2· 2022-01-19
0.988
best: 1 (HybridDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonNYU-Depth V2
Delta < 1.25^3· 2022-01-19
0.997
best: 1 (HybridDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonNYU-Depth V2
RMSE· 2022-01-19
0.344
best: 0.013 (Defocus/DepthNet (Normalized))
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonNYU-Depth V2
absolute relative error· 2022-01-19
0.098
best: 0.026 (HybridDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonNYU-Depth V2
log 10· 2022-01-19
0.042
best: 0.059 (SC-DepthV2)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonKITTI Eigen split
Delta < 1.25· 2022-01-19
0.967
best: 0.99 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonKITTI Eigen split
Delta < 1.25^2· 2022-01-19
0.996
best: 0.999 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonKITTI Eigen split
Delta < 1.25^3· 2022-01-19
0.999
best: 1 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonKITTI Eigen split
RMSE· 2022-01-19
2.297
best: 1.394 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonKITTI Eigen split
RMSE log· 2022-01-19
0.086
best: 0.048 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonKITTI Eigen split
absolute relative error· 2022-01-19
0.057
best: 0.029 (SPIDepth)
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth arXiv:2201.07436
3DonMars DTM Estimation
Average PSNR
29.2636
3DonMars DTM Estimation
Delta < 1.25
0.4324
3DonMars DTM Estimation
Delta < 1.25^2
0.6667
best: 0.6731 (SRDINET (Model A))
3DonMars DTM Estimation
Delta < 1.25^3
0.7949
best: 0.8208 (SRDINET (Model A))
3DonMars DTM Estimation
RMSE
18.3042
best: 0.1859 (SRDINET (Model A))
3DonMars DTM Estimation
mean absolute error
10.2905
best: 0.1558 (SRDINET (Model A))