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Models/Point-RAE (no voting)

Point-RAE (no voting)

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· 2023-09-25
    95.53
    best: 99.48 (PointGST)
    Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningarXiv:2310.03670
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    OBJ-ONLY (OA)· uses extra data· 2023-09-25
    93.63
    best: 97.76 (PointGST)
    Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningarXiv:2310.03670
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    Overall Accuracy· uses extra data· 2023-09-25
    90.28
    best: 97.2 (OmniVec2)
    Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningarXiv:2310.03670
  • 3D Point Cloud ClassificationonScanObjectNN
    OBJ-BG (OA)· uses extra data· 2023-09-25
    95.53
    best: 99.48 (PointGST)
    Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningarXiv:2310.03670
  • 3D Point Cloud ClassificationonScanObjectNN
    OBJ-ONLY (OA)· uses extra data· 2023-09-25
    93.63
    best: 97.76 (PointGST)
    Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningarXiv:2310.03670
  • 3D Point Cloud ClassificationonScanObjectNN
    Overall Accuracy· uses extra data· 2023-09-25
    90.28
    best: 97.2 (OmniVec2)
    Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningarXiv:2310.03670
  • 3D Point Cloud ReconstructiononScanObjectNN
    OBJ-BG (OA)· uses extra data· 2023-09-25
    95.53
    best: 99.48 (PointGST)
    Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningarXiv:2310.03670
  • 3D Point Cloud ReconstructiononScanObjectNN
    OBJ-ONLY (OA)· uses extra data· 2023-09-25
    93.63
    best: 97.76 (PointGST)
    Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningarXiv:2310.03670
  • 3D Point Cloud ReconstructiononScanObjectNN
    Overall Accuracy· uses extra data· 2023-09-25
    90.28
    best: 97.2 (OmniVec2)
    Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningarXiv:2310.03670