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Models/PointMLP∗ + JM3D

PointMLP∗ + JM3D

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
    Mean Accuracy· uses extra data· 2023-08-06
    88.7
    best: 93.8 (GPSFormer)
    Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationarXiv:2308.02982
  • Shape Representation Of 3D Point CloudsonScanObjectNN
    Overall Accuracy· uses extra data· 2023-08-06
    89.5
    best: 97.2 (OmniVec2)
    Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationarXiv:2308.02982
  • 3D Point Cloud ClassificationonScanObjectNN
    Mean Accuracy· uses extra data· 2023-08-06
    88.7
    best: 93.8 (GPSFormer)
    Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationarXiv:2308.02982
  • 3D Point Cloud ClassificationonScanObjectNN
    Overall Accuracy· uses extra data· 2023-08-06
    89.5
    best: 97.2 (OmniVec2)
    Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationarXiv:2308.02982
  • 3D Point Cloud ReconstructiononScanObjectNN
    Mean Accuracy· uses extra data· 2023-08-06
    88.7
    best: 93.8 (GPSFormer)
    Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationarXiv:2308.02982
  • 3D Point Cloud ReconstructiononScanObjectNN
    Overall Accuracy· uses extra data· 2023-08-06
    89.5
    best: 97.2 (OmniVec2)
    Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationarXiv:2308.02982