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Models/ECC

ECC

Reported on 9 benchmarks across 3 tasks · 1 paper · 3 SOTA

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 CloudsonSydney Urban Objects
    F1· 2017-04-10
    78.4
    SOTA
    Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsarXiv:1704.02901
  • 3D Point Cloud ClassificationonSydney Urban Objects
    F1· 2017-04-10
    78.4
    SOTA
    Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsarXiv:1704.02901
  • 3D Point Cloud ReconstructiononSydney Urban Objects
    F1· 2017-04-10
    78.4
    SOTA
    Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsarXiv:1704.02901
  • Shape Representation Of 3D Point CloudsonModelNet40
    Mean Accuracy· 2017-04-10
    83.2
    best: 92.4 (ULIP + PointMLP)
    Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsarXiv:1704.02901
  • Shape Representation Of 3D Point CloudsonModelNet40
    Overall Accuracy· 2017-04-10
    87.4
    best: 95.3 (PointGST)
    Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsarXiv:1704.02901
  • 3D Point Cloud ClassificationonModelNet40
    Mean Accuracy· 2017-04-10
    83.2
    best: 92.4 (ULIP + PointMLP)
    Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsarXiv:1704.02901
  • 3D Point Cloud ClassificationonModelNet40
    Overall Accuracy· 2017-04-10
    87.4
    best: 95.3 (PointGST)
    Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsarXiv:1704.02901
  • 3D Point Cloud ReconstructiononModelNet40
    Mean Accuracy· 2017-04-10
    83.2
    best: 92.4 (ULIP + PointMLP)
    Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsarXiv:1704.02901
  • 3D Point Cloud ReconstructiononModelNet40
    Overall Accuracy· 2017-04-10
    87.4
    best: 95.3 (PointGST)
    Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsarXiv:1704.02901