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Models/ULIP + PointBERT

ULIP + PointBERT

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
    Overall Accuracy· uses extra data· 2022-12-10
    86.4
    best: 97.2 (OmniVec2)
    ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingarXiv:2212.05171
  • Shape Representation Of 3D Point CloudsonModelNet40
    Overall Accuracy· uses extra data· 2022-12-10
    94.1
    best: 95.3 (PointGST)
    ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingarXiv:2212.05171
  • Shape Representation Of 3D Point CloudsonModelNet40
    Accuracy (%)· uses extra data· 2022-12-10
    60.4
    best: 88.2 (Uni3D)
    ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingarXiv:2212.05171
  • 3D Point Cloud ClassificationonScanObjectNN
    Overall Accuracy· uses extra data· 2022-12-10
    86.4
    best: 97.2 (OmniVec2)
    ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingarXiv:2212.05171
  • 3D Point Cloud ClassificationonModelNet40
    Overall Accuracy· uses extra data· 2022-12-10
    94.1
    best: 95.3 (PointGST)
    ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingarXiv:2212.05171
  • 3D Point Cloud ClassificationonModelNet40
    Accuracy (%)· uses extra data· 2022-12-10
    60.4
    best: 88.2 (Uni3D)
    ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingarXiv:2212.05171
  • 3D Point Cloud ReconstructiononScanObjectNN
    Overall Accuracy· uses extra data· 2022-12-10
    86.4
    best: 97.2 (OmniVec2)
    ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingarXiv:2212.05171
  • 3D Point Cloud ReconstructiononModelNet40
    Overall Accuracy· uses extra data· 2022-12-10
    94.1
    best: 95.3 (PointGST)
    ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingarXiv:2212.05171
  • 3D Point Cloud ReconstructiononModelNet40
    Accuracy (%)· uses extra data· 2022-12-10
    60.4
    best: 88.2 (Uni3D)
    ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingarXiv:2212.05171