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Models/ExpPoint-MAE

ExpPoint-MAE

Reported on 9 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 Vision9 results

  • Shape Representation Of 3D Point CloudsonScanObjectNN
    OBJ-BG (OA)· uses extra data· 2023-06-19
    90.88
    best: 99.48 (PointGST)
    ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersarXiv:2306.10798
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    OBJ-ONLY (OA)· uses extra data· 2023-06-19
    90.02
    best: 97.76 (PointGST)
    ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersarXiv:2306.10798
  • Shape Representation Of 3D Point CloudsonModelNet40
    Overall Accuracy· uses extra data· 2023-06-19
    94.2
    best: 95.3 (PointGST)
    ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersarXiv:2306.10798
  • 3D Point Cloud ClassificationonScanObjectNN
    OBJ-BG (OA)· uses extra data· 2023-06-19
    90.88
    best: 99.48 (PointGST)
    ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersarXiv:2306.10798
  • 3D Point Cloud ClassificationonScanObjectNN
    OBJ-ONLY (OA)· uses extra data· 2023-06-19
    90.02
    best: 97.76 (PointGST)
    ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersarXiv:2306.10798
  • 3D Point Cloud ClassificationonModelNet40
    Overall Accuracy· uses extra data· 2023-06-19
    94.2
    best: 95.3 (PointGST)
    ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersarXiv:2306.10798
  • 3D Point Cloud ReconstructiononScanObjectNN
    OBJ-BG (OA)· uses extra data· 2023-06-19
    90.88
    best: 99.48 (PointGST)
    ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersarXiv:2306.10798
  • 3D Point Cloud ReconstructiononScanObjectNN
    OBJ-ONLY (OA)· uses extra data· 2023-06-19
    90.02
    best: 97.76 (PointGST)
    ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersarXiv:2306.10798
  • 3D Point Cloud ReconstructiononModelNet40
    Overall Accuracy· uses extra data· 2023-06-19
    94.2
    best: 95.3 (PointGST)
    ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersarXiv:2306.10798