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Models/VA-DepthNet(SwinV1-L)

VA-DepthNet(SwinV1-L)

Reported on 12 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 Vision6 results

Depth EstimationonNYU-Depth V2
Delta < 1.25· 2023-02-13
0.937
best: 0.989 (UniK3D (FT, metric))
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556
Depth EstimationonNYU-Depth V2
Delta < 1.25^2· 2023-02-13
0.992
best: 1 (HybridDepth)
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556
Depth EstimationonNYU-Depth V2
Delta < 1.25^3· 2023-02-13
0.999
best: 1 (HybridDepth)
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556
Depth EstimationonNYU-Depth V2
RMSE· 2023-02-13
0.304
best: 0.013 (Defocus/DepthNet (Normalized))
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556
Depth EstimationonNYU-Depth V2
absolute relative error· 2023-02-13
0.086
best: 0.026 (HybridDepth)
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556
Depth EstimationonNYU-Depth V2
log 10· 2023-02-13
0.037
best: 0.059 (SC-DepthV2)
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556

Methodology6 results

3DonNYU-Depth V2
Delta < 1.25· 2023-02-13
0.937
best: 0.989 (UniK3D (FT, metric))
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556
3DonNYU-Depth V2
Delta < 1.25^2· 2023-02-13
0.992
best: 1 (HybridDepth)
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556
3DonNYU-Depth V2
Delta < 1.25^3· 2023-02-13
0.999
best: 1 (HybridDepth)
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556
3DonNYU-Depth V2
RMSE· 2023-02-13
0.304
best: 0.013 (Defocus/DepthNet (Normalized))
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556
3DonNYU-Depth V2
absolute relative error· 2023-02-13
0.086
best: 0.026 (HybridDepth)
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556
3DonNYU-Depth V2
log 10· 2023-02-13
0.037
best: 0.059 (SC-DepthV2)
VA-DepthNet: A Variational Approach to Single Image Depth Prediction arXiv:2302.06556