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Models/MixCon3D-PointBERT

MixCon3D-PointBERT

Reported on 6 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 Vision6 results

  • Shape Representation Of 3D Point CloudsonScanObjectNN
    OBJ_ONLY Accuracy(%)· uses extra data· 2023-11-03
    58.6
    best: 65.4 (ReCon++)
    Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-trainingarXiv:2311.01734
  • Shape Representation Of 3D Point CloudsonModelNet40
    Accuracy (%)· uses extra data· 2023-11-03
    86.8
    best: 88.2 (Uni3D)
    Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-trainingarXiv:2311.01734
  • 3D Point Cloud ClassificationonScanObjectNN
    OBJ_ONLY Accuracy(%)· uses extra data· 2023-11-03
    58.6
    best: 65.4 (ReCon++)
    Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-trainingarXiv:2311.01734
  • 3D Point Cloud ClassificationonModelNet40
    Accuracy (%)· uses extra data· 2023-11-03
    86.8
    best: 88.2 (Uni3D)
    Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-trainingarXiv:2311.01734
  • 3D Point Cloud ReconstructiononScanObjectNN
    OBJ_ONLY Accuracy(%)· uses extra data· 2023-11-03
    58.6
    best: 65.4 (ReCon++)
    Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-trainingarXiv:2311.01734
  • 3D Point Cloud ReconstructiononModelNet40
    Accuracy (%)· uses extra data· 2023-11-03
    86.8
    best: 88.2 (Uni3D)
    Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-trainingarXiv:2311.01734