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Models/Point-PN

Point-PN

Reported on 12 benchmarks across 3 tasks · 1 paper

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
    Overall Accuracy· 2023-03-14
    87.1
    best: 97.2 (OmniVec2)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134
  • Shape Representation Of 3D Point CloudsonModelNet40
    Overall Accuracy· 2023-03-14
    93.8
    best: 95.3 (PointGST)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    Number of params (M)· 2023-03-14
    0.8
    best: 34.2 (PCM)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    Overall Accuracy (PB_T50_RS)· 2023-03-14
    87.1
    best: 92.64 (Mamba3D)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134
  • 3D Point Cloud ClassificationonScanObjectNN
    Overall Accuracy· 2023-03-14
    87.1
    best: 97.2 (OmniVec2)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134
  • 3D Point Cloud ClassificationonModelNet40
    Overall Accuracy· 2023-03-14
    93.8
    best: 95.3 (PointGST)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134
  • 3D Point Cloud ClassificationonScanObjectNN
    Number of params (M)· 2023-03-14
    0.8
    best: 34.2 (PCM)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134
  • 3D Point Cloud ClassificationonScanObjectNN
    Overall Accuracy (PB_T50_RS)· 2023-03-14
    87.1
    best: 92.64 (Mamba3D)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134
  • 3D Point Cloud ReconstructiononScanObjectNN
    Overall Accuracy· 2023-03-14
    87.1
    best: 97.2 (OmniVec2)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134
  • 3D Point Cloud ReconstructiononModelNet40
    Overall Accuracy· 2023-03-14
    93.8
    best: 95.3 (PointGST)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134
  • 3D Point Cloud ReconstructiononScanObjectNN
    Number of params (M)· 2023-03-14
    0.8
    best: 34.2 (PCM)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134
  • 3D Point Cloud ReconstructiononScanObjectNN
    Overall Accuracy (PB_T50_RS)· 2023-03-14
    87.1
    best: 92.64 (Mamba3D)
    Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud AnalysisarXiv:2303.08134