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Models/Point Transformer

Point Transformer

Reported on 21 benchmarks across 9 tasks · 2 papers · 12 SOTA

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

Computer Vision11 results

  • 3D Human Pose EstimationonDHP19
    GFLOPs· 2022-06-09
    10.06
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • 3D Human Pose EstimationonDHP19
    MPJPE2D· 2022-06-09
    6.46
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • 3D Human Pose EstimationonDHP19
    Params (M)· 2022-06-09
    3.65
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • Pose EstimationonDHP19
    GFLOPs· 2022-06-09
    10.06
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • Pose EstimationonDHP19
    MPJPE2D· 2022-06-09
    6.46
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • Pose EstimationonDHP19
    Params (M)· 2022-06-09
    3.65
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • 3D Human Pose EstimationonDHP19
    MPJPE3D· 2022-06-09
    73.37
    best: 92.09 (Lifting Events)
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • Pose EstimationonDHP19
    MPJPE3D· 2022-06-09
    73.37
    best: 92.09 (Lifting Events)
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • Shape Representation Of 3D Point CloudsonModelNet40
    Overall Accuracy· 2020-11-02
    92.8
    best: 95.3 (PointGST)
    Point TransformerarXiv:2011.00931
  • 3D Point Cloud ClassificationonModelNet40
    Overall Accuracy· 2020-11-02
    92.8
    best: 95.3 (PointGST)
    Point TransformerarXiv:2011.00931
  • 3D Point Cloud ReconstructiononModelNet40
    Overall Accuracy· 2020-11-02
    92.8
    best: 95.3 (PointGST)
    Point TransformerarXiv:2011.00931

Audio5 results

  • 1 Image, 2*2 StitchionDHP19
    GFLOPs· 2022-06-09
    10.06
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • 1 Image, 2*2 StitchionDHP19
    MPJPE2D· 2022-06-09
    6.46
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • 1 Image, 2*2 StitchionDHP19
    Params (M)· 2022-06-09
    3.65
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • 1 Image, 2*2 StitchionDHP19
    MPJPE3D· 2022-06-09
    73.37
    best: 92.09 (Lifting Events)
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • 10-shot image generationonShapeNet-Part
    Instance Average IoU· 2020-11-02
    85.9
    best: 89.1 (GeomGCNN)
    Point TransformerarXiv:2011.00931

Methodology4 results

  • 3DonDHP19
    GFLOPs· 2022-06-09
    10.06
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • 3DonDHP19
    MPJPE2D· 2022-06-09
    6.46
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • 3DonDHP19
    Params (M)· 2022-06-09
    3.65
    SOTA
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511
  • 3DonDHP19
    MPJPE3D· 2022-06-09
    73.37
    best: 92.09 (Lifting Events)
    Efficient Human Pose Estimation via 3D Event Point CloudarXiv:2206.04511

Medical1 result

  • Semantic SegmentationonShapeNet-Part
    Instance Average IoU· 2020-11-02
    85.9
    best: 89.1 (GeomGCNN)
    Point TransformerarXiv:2011.00931