TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/D-Net

D-Net

Reported on 26 benchmarks across 2 tasks

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

Computer Vision13 results

  • Depth EstimationonNYU-Depth V2
    Delta < 1.25
    0.919
    best: 0.989 (UniK3D (FT, metric))
  • Depth EstimationonNYU-Depth V2
    Delta < 1.25^2
    0.988
    best: 1 (HybridDepth)
  • Depth EstimationonNYU-Depth V2
    Delta < 1.25^3
    0.997
    best: 1 (HybridDepth)
  • Depth EstimationonNYU-Depth V2
    RMSE
    0.354
    best: 0.013 (Defocus/DepthNet (Normalized))
  • Depth EstimationonNYU-Depth V2
    absolute relative error
    0.095
    best: 0.026 (HybridDepth)
  • Depth EstimationonNYU-Depth V2
    log 10
    0.041
    best: 0.059 (SC-DepthV2)
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25
    0.963
    best: 0.99 (SPIDepth)
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^2
    0.995
    best: 0.999 (SPIDepth)
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^3
    0.999
    best: 1 (SPIDepth)
  • Depth EstimationonKITTI Eigen split
    RMSE
    2.362
    best: 1.394 (SPIDepth)
  • Depth EstimationonKITTI Eigen split
    RMSE log
    0.087
    best: 0.048 (SPIDepth)
  • Depth EstimationonKITTI Eigen split
    Sq Rel
    0.189
    best: 0.224 (SfM-Revisited)
  • Depth EstimationonKITTI Eigen split
    absolute relative error
    0.056
    best: 0.029 (SPIDepth)

Methodology13 results

  • 3DonNYU-Depth V2
    Delta < 1.25
    0.919
    best: 0.989 (UniK3D (FT, metric))
  • 3DonNYU-Depth V2
    Delta < 1.25^2
    0.988
    best: 1 (HybridDepth)
  • 3DonNYU-Depth V2
    Delta < 1.25^3
    0.997
    best: 1 (HybridDepth)
  • 3DonNYU-Depth V2
    RMSE
    0.354
    best: 0.013 (Defocus/DepthNet (Normalized))
  • 3DonNYU-Depth V2
    absolute relative error
    0.095
    best: 0.026 (HybridDepth)
  • 3DonNYU-Depth V2
    log 10
    0.041
    best: 0.059 (SC-DepthV2)
  • 3DonKITTI Eigen split
    Delta < 1.25
    0.963
    best: 0.99 (SPIDepth)
  • 3DonKITTI Eigen split
    Delta < 1.25^2
    0.995
    best: 0.999 (SPIDepth)
  • 3DonKITTI Eigen split
    Delta < 1.25^3
    0.999
    best: 1 (SPIDepth)
  • 3DonKITTI Eigen split
    RMSE
    2.362
    best: 1.394 (SPIDepth)
  • 3DonKITTI Eigen split
    RMSE log
    0.087
    best: 0.048 (SPIDepth)
  • 3DonKITTI Eigen split
    Sq Rel
    0.189
    best: 0.224 (SfM-Revisited)
  • 3DonKITTI Eigen split
    absolute relative error
    0.056
    best: 0.029 (SPIDepth)