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Models/Depth-Map-Decomposition-HRWSI

Depth-Map-Decomposition-HRWSI

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· uses extra data· 2022-08-23
    0.913
    best: 0.989 (UniK3D (FT, metric))
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762
  • Depth EstimationonNYU-Depth V2
    Delta < 1.25^2· uses extra data· 2022-08-23
    0.987
    best: 1 (HybridDepth)
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762
  • Depth EstimationonNYU-Depth V2
    Delta < 1.25^3· uses extra data· 2022-08-23
    0.998
    best: 1 (HybridDepth)
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762
  • Depth EstimationonNYU-Depth V2
    RMSE· uses extra data· 2022-08-23
    0.355
    best: 0.013 (Defocus/DepthNet (Normalized))
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762
  • Depth EstimationonNYU-Depth V2
    absolute relative error· uses extra data· 2022-08-23
    0.098
    best: 0.026 (HybridDepth)
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762
  • Depth EstimationonNYU-Depth V2
    log 10· uses extra data· 2022-08-23
    0.042
    best: 0.059 (SC-DepthV2)
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762

Methodology6 results

  • 3DonNYU-Depth V2
    Delta < 1.25· uses extra data· 2022-08-23
    0.913
    best: 0.989 (UniK3D (FT, metric))
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762
  • 3DonNYU-Depth V2
    Delta < 1.25^2· uses extra data· 2022-08-23
    0.987
    best: 1 (HybridDepth)
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762
  • 3DonNYU-Depth V2
    Delta < 1.25^3· uses extra data· 2022-08-23
    0.998
    best: 1 (HybridDepth)
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762
  • 3DonNYU-Depth V2
    RMSE· uses extra data· 2022-08-23
    0.355
    best: 0.013 (Defocus/DepthNet (Normalized))
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762
  • 3DonNYU-Depth V2
    absolute relative error· uses extra data· 2022-08-23
    0.098
    best: 0.026 (HybridDepth)
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762
  • 3DonNYU-Depth V2
    log 10· uses extra data· 2022-08-23
    0.042
    best: 0.059 (SC-DepthV2)
    Depth Map Decomposition for Monocular Depth EstimationarXiv:2208.10762