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Models/P2Net+PP

P2Net+PP

Reported on 10 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Computer Vision5 results

  • Depth EstimationonNYU-Depth V2 self-supervised
    Absolute relative error (AbsRel)· 2020-07-15
    0.147
    best: 0.126 (IndoorDepth)
    SOTA
    P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth EstimationarXiv:2007.07696
  • Depth EstimationonNYU-Depth V2 self-supervised
    Root mean square error (RMSE)· 2020-07-15
    0.553
    best: 0.494 (IndoorDepth)
    SOTA
    P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth EstimationarXiv:2007.07696
  • Depth EstimationonNYU-Depth V2 self-supervised
    delta_1· 2020-07-15
    80.4
    best: 84.5 (IndoorDepth)
    SOTA
    P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth EstimationarXiv:2007.07696
  • Depth EstimationonNYU-Depth V2 self-supervised
    delta_2· 2020-07-15
    95.2
    best: 96.5 (IndoorDepth)
    SOTA
    P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth EstimationarXiv:2007.07696
  • Depth EstimationonNYU-Depth V2 self-supervised
    delta_3· 2020-07-15
    98.7
    best: 99.1 (IndoorDepth)
    SOTA
    P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth EstimationarXiv:2007.07696

Methodology5 results

  • 3DonNYU-Depth V2 self-supervised
    Absolute relative error (AbsRel)· 2020-07-15
    0.147
    best: 0.126 (IndoorDepth)
    SOTA
    P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth EstimationarXiv:2007.07696
  • 3DonNYU-Depth V2 self-supervised
    Root mean square error (RMSE)· 2020-07-15
    0.553
    best: 0.494 (IndoorDepth)
    SOTA
    P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth EstimationarXiv:2007.07696
  • 3DonNYU-Depth V2 self-supervised
    delta_1· 2020-07-15
    80.4
    best: 84.5 (IndoorDepth)
    SOTA
    P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth EstimationarXiv:2007.07696
  • 3DonNYU-Depth V2 self-supervised
    delta_2· 2020-07-15
    95.2
    best: 96.5 (IndoorDepth)
    SOTA
    P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth EstimationarXiv:2007.07696
  • 3DonNYU-Depth V2 self-supervised
    delta_3· 2020-07-15
    98.7
    best: 99.1 (IndoorDepth)
    SOTA
    P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth EstimationarXiv:2007.07696