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Models/ACT (no voting)

ACT (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· 2022-12-16
    93.29
    best: 99.48 (PointGST)
    Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?arXiv:2212.08320
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    OBJ-ONLY (OA)· uses extra data· 2022-12-16
    91.91
    best: 97.76 (PointGST)
    Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?arXiv:2212.08320
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    Overall Accuracy· uses extra data· 2022-12-16
    88.21
    best: 97.2 (OmniVec2)
    Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?arXiv:2212.08320
  • 3D Point Cloud ClassificationonScanObjectNN
    OBJ-BG (OA)· uses extra data· 2022-12-16
    93.29
    best: 99.48 (PointGST)
    Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?arXiv:2212.08320
  • 3D Point Cloud ClassificationonScanObjectNN
    OBJ-ONLY (OA)· uses extra data· 2022-12-16
    91.91
    best: 97.76 (PointGST)
    Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?arXiv:2212.08320
  • 3D Point Cloud ClassificationonScanObjectNN
    Overall Accuracy· uses extra data· 2022-12-16
    88.21
    best: 97.2 (OmniVec2)
    Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?arXiv:2212.08320
  • 3D Point Cloud ReconstructiononScanObjectNN
    OBJ-BG (OA)· uses extra data· 2022-12-16
    93.29
    best: 99.48 (PointGST)
    Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?arXiv:2212.08320
  • 3D Point Cloud ReconstructiononScanObjectNN
    OBJ-ONLY (OA)· uses extra data· 2022-12-16
    91.91
    best: 97.76 (PointGST)
    Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?arXiv:2212.08320
  • 3D Point Cloud ReconstructiononScanObjectNN
    Overall Accuracy· uses extra data· 2022-12-16
    88.21
    best: 97.2 (OmniVec2)
    Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?arXiv:2212.08320