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/GBNet

GBNet

Reported on 12 benchmarks across 3 tasks · 1 paper · 9 SOTA

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

Computer Vision12 results

  • Shape Representation Of 3D Point CloudsonScanObjectNN
    Mean Accuracy· 2019-11-28
    77.8
    best: 93.8 (GPSFormer)
    SOTA
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    Overall Accuracy· 2019-11-28
    80.5
    best: 97.2 (OmniVec2)
    SOTA
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885
  • Shape Representation Of 3D Point CloudsonModelNet40
    Overall Accuracy· 2019-11-28
    93.8
    best: 95.3 (PointGST)
    SOTA
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885
  • 3D Point Cloud ClassificationonScanObjectNN
    Mean Accuracy· 2019-11-28
    77.8
    best: 93.8 (GPSFormer)
    SOTA
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885
  • 3D Point Cloud ClassificationonScanObjectNN
    Overall Accuracy· 2019-11-28
    80.5
    best: 97.2 (OmniVec2)
    SOTA
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885
  • 3D Point Cloud ClassificationonModelNet40
    Overall Accuracy· 2019-11-28
    93.8
    best: 95.3 (PointGST)
    SOTA
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885
  • 3D Point Cloud ReconstructiononScanObjectNN
    Mean Accuracy· 2019-11-28
    77.8
    best: 93.8 (GPSFormer)
    SOTA
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885
  • 3D Point Cloud ReconstructiononScanObjectNN
    Overall Accuracy· 2019-11-28
    80.5
    best: 97.2 (OmniVec2)
    SOTA
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885
  • 3D Point Cloud ReconstructiononModelNet40
    Overall Accuracy· 2019-11-28
    93.8
    best: 95.3 (PointGST)
    SOTA
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885
  • Shape Representation Of 3D Point CloudsonModelNet40
    Mean Accuracy· 2019-11-28
    91
    best: 92.4 (ULIP + PointMLP)
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885
  • 3D Point Cloud ClassificationonModelNet40
    Mean Accuracy· 2019-11-28
    91
    best: 92.4 (ULIP + PointMLP)
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885
  • 3D Point Cloud ReconstructiononModelNet40
    Mean Accuracy· 2019-11-28
    91
    best: 92.4 (ULIP + PointMLP)
    Geometric Back-projection Network for Point Cloud ClassificationarXiv:1911.12885