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Models/ASSANet

ASSANet

Reported on 7 benchmarks across 5 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision3 results

  • Shape Representation Of 3D Point CloudsonModelNet40
    Overall Accuracy· 2021-10-20
    92.9
    best: 95.3 (PointGST)
    ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningarXiv:2110.10538
  • 3D Point Cloud ClassificationonModelNet40
    Overall Accuracy· 2021-10-20
    92.9
    best: 95.3 (PointGST)
    ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningarXiv:2110.10538
  • 3D Point Cloud ReconstructiononModelNet40
    Overall Accuracy· 2021-10-20
    92.9
    best: 95.3 (PointGST)
    ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningarXiv:2110.10538

Medical2 results

  • Semantic SegmentationonS3DIS Area5
    mIoU· 2021-10-20
    66.8
    best: 76 (Sonata + PTv3)
    ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningarXiv:2110.10538
  • Semantic SegmentationonShapeNet-Part
    Instance Average IoU· 2021-10-20
    86.1
    best: 89.1 (GeomGCNN)
    ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningarXiv:2110.10538

Audio2 results

  • 10-shot image generationonS3DIS Area5
    mIoU· 2021-10-20
    66.8
    best: 76 (Sonata + PTv3)
    ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningarXiv:2110.10538
  • 10-shot image generationonShapeNet-Part
    Instance Average IoU· 2021-10-20
    86.1
    best: 89.1 (GeomGCNN)
    ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningarXiv:2110.10538