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Models/SPG

SPG

Reported on 25 benchmarks across 4 tasks · 2 papers · 19 SOTA

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

Medical9 results

  • Semantic SegmentationonS3DIS Area5
    mAcc· 2017-11-27
    66.5
    best: 81.6 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • Semantic SegmentationonS3DIS Area5
    mIoU· 2017-11-27
    58.04
    best: 76 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • Semantic SegmentationonS3DIS Area5
    oAcc· 2017-11-27
    86.38
    best: 93 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • Semantic SegmentationonS3DIS
    Mean IoU· 2017-11-27
    62.1
    best: 82.3 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • Semantic SegmentationonS3DIS
    Params (M)· 2017-11-27
    0.29
    best: 41.6 (PointNeXt-XL)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • Semantic SegmentationonS3DIS
    mAcc· 2017-11-27
    73
    best: 89.9 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • Semantic SegmentationonS3DIS
    oAcc· 2017-11-27
    85.5
    best: 93.3 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • Semantic SegmentationonDALES
    Overall Accuracy· 2017-11-27
    95.5
    best: 97.8 (KPConv)
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • Semantic SegmentationonDALES
    mIoU· 2017-11-27
    60.6
    best: 81.1 (KPConv)
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869

Audio9 results

  • 10-shot image generationonS3DIS Area5
    mAcc· 2017-11-27
    66.5
    best: 81.6 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • 10-shot image generationonS3DIS Area5
    mIoU· 2017-11-27
    58.04
    best: 76 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • 10-shot image generationonS3DIS Area5
    oAcc· 2017-11-27
    86.38
    best: 93 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • 10-shot image generationonS3DIS
    Mean IoU· 2017-11-27
    62.1
    best: 82.3 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • 10-shot image generationonS3DIS
    Params (M)· 2017-11-27
    0.29
    best: 41.6 (PointNeXt-XL)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • 10-shot image generationonS3DIS
    mAcc· 2017-11-27
    73
    best: 89.9 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • 10-shot image generationonS3DIS
    oAcc· 2017-11-27
    85.5
    best: 93.3 (Sonata + PTv3)
    SOTA
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • 10-shot image generationonDALES
    Overall Accuracy· 2017-11-27
    95.5
    best: 97.8 (KPConv)
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • 10-shot image generationonDALES
    mIoU· 2017-11-27
    60.6
    best: 81.1 (KPConv)
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869

Computer Vision7 results

  • Object LocalizationonILSVRC 2015
    Top-1 Error Rate· 2018-07-24
    51.4
    SOTA
    Self-produced Guidance for Weakly-supervised Object LocalizationarXiv:1807.08902
  • Object Localizationon CUB-200-2011
    MaxBoxAccV2· 2018-07-24
    60.4
    best: 90.9 (DiPS)
    SOTA
    Self-produced Guidance for Weakly-supervised Object LocalizationarXiv:1807.08902
  • Object Localizationon CUB-200-2011
    Top-1 Error Rate· 2018-07-24
    53.36
    best: 34.8 (ART)
    SOTA
    Self-produced Guidance for Weakly-supervised Object LocalizationarXiv:1807.08902
  • Object Localizationon CUB-200-2011
    Top-5 Error· 2018-07-24
    42.28
    SOTA
    Self-produced Guidance for Weakly-supervised Object LocalizationarXiv:1807.08902
  • Object LocalizationonILSVRC 2016
    Top-5 Error· 2018-07-24
    40
    SOTA
    Self-produced Guidance for Weakly-supervised Object LocalizationarXiv:1807.08902
  • 3D Semantic SegmentationonDALES
    Overall Accuracy· 2017-11-27
    95.5
    best: 97.8 (KPConv)
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869
  • 3D Semantic SegmentationonDALES
    mIoU· 2017-11-27
    60.6
    best: 81.1 (KPConv)
    Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsarXiv:1711.09869