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Models/SPGraph

SPGraph

Reported on 7 benchmarks across 3 tasks · 3 papers · 3 SOTA

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

Medical4 results

  • Semantic SegmentationonSensatUrban
    mIoU· 2017-11-27
    37.29
    best: 63.4 (LCPFormer)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • Semantic SegmentationonS3DIS
    Mean IoU· 2020-12-16
    62.1
    best: 82.3 (Sonata + PTv3)
    Point TransformerarXiv:2012.09164
  • Semantic SegmentationonS3DIS
    Mean IoU· 2020-12-16
    62.1
    best: 82.3 (Sonata + PTv3)
    Point TransformerarXiv:2012.09164
  • Semantic SegmentationonS3DIS
    oAcc· 2019-04-16
    85.5
    best: 93.3 (Sonata + PTv3)
    A-CNN: Annularly Convolutional Neural Networks on Point CloudsarXiv:1904.08017

Audio4 results

  • 10-shot image generationonSensatUrban
    mIoU· 2017-11-27
    37.29
    best: 63.4 (LCPFormer)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • 10-shot image generationonS3DIS
    Mean IoU· 2020-12-16
    62.1
    best: 82.3 (Sonata + PTv3)
    Point TransformerarXiv:2012.09164
  • 10-shot image generationonS3DIS
    Mean IoU· 2020-12-16
    62.1
    best: 82.3 (Sonata + PTv3)
    Point TransformerarXiv:2012.09164
  • 10-shot image generationonS3DIS
    oAcc· 2019-04-16
    85.5
    best: 93.3 (Sonata + PTv3)
    A-CNN: Annularly Convolutional Neural Networks on Point CloudsarXiv:1904.08017

Computer Vision1 result

  • 3D Semantic SegmentationonSensatUrban
    mIoU· 2017-11-27
    37.29
    best: 63.4 (LCPFormer)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869