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Models/3DMedPT

3DMedPT

Reported on 14 benchmarks across 5 tasks · 1 paper · 11 SOTA

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

Computer Vision6 results

  • Shape Representation Of 3D Point CloudsonIntrA
    F1 score (5-fold)· 2021-12-09
    0.936
    SOTA
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863
  • 3D Point Cloud ClassificationonIntrA
    F1 score (5-fold)· 2021-12-09
    0.936
    SOTA
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863
  • 3D Point Cloud ReconstructiononIntrA
    F1 score (5-fold)· 2021-12-09
    0.936
    SOTA
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863
  • Shape Representation Of 3D Point CloudsonModelNet40
    Overall Accuracy· 2021-12-09
    93.4
    best: 95.3 (PointGST)
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863
  • 3D Point Cloud ClassificationonModelNet40
    Overall Accuracy· 2021-12-09
    93.4
    best: 95.3 (PointGST)
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863
  • 3D Point Cloud ReconstructiononModelNet40
    Overall Accuracy· 2021-12-09
    93.4
    best: 95.3 (PointGST)
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863

Medical4 results

  • Semantic SegmentationonIntrA
    DSC (A)· 2021-12-09
    89.71
    SOTA
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863
  • Semantic SegmentationonIntrA
    DSC (V)· 2021-12-09
    97.29
    SOTA
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863
  • Semantic SegmentationonIntrA
    IoU (A)· 2021-12-09
    82.39
    SOTA
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863
  • Semantic SegmentationonIntrA
    IoU (V)· 2021-12-09
    94.82
    SOTA
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863

Audio4 results

  • 10-shot image generationonIntrA
    DSC (A)· 2021-12-09
    89.71
    SOTA
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863
  • 10-shot image generationonIntrA
    DSC (V)· 2021-12-09
    97.29
    SOTA
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863
  • 10-shot image generationonIntrA
    IoU (A)· 2021-12-09
    82.39
    SOTA
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863
  • 10-shot image generationonIntrA
    IoU (V)· 2021-12-09
    94.82
    SOTA
    3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisarXiv:2112.04863