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Models/MinkowskiNet (Xiang 2023)

MinkowskiNet (Xiang 2023)

Reported on 12 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Medical4 results

  • Semantic SegmentationonS3DIS Area5
    Params (M)· 2023-04-27
    38
    SOTA
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980
  • Semantic SegmentationonS3DIS Area5
    SQ· 2023-04-27
    74.9
    best: 76.6 (SuperCluster)
    SOTA
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980
  • Semantic SegmentationonS3DIS Area5
    PQ· 2023-04-27
    39.2
    best: 50.1 (SuperCluster)
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980
  • Semantic SegmentationonS3DIS Area5
    RQ· 2023-04-27
    48
    best: 60.1 (SuperCluster)
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980

Audio4 results

  • 10-shot image generationonS3DIS Area5
    Params (M)· 2023-04-27
    38
    SOTA
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980
  • 10-shot image generationonS3DIS Area5
    SQ· 2023-04-27
    74.9
    best: 76.6 (SuperCluster)
    SOTA
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980
  • 10-shot image generationonS3DIS Area5
    PQ· 2023-04-27
    39.2
    best: 50.1 (SuperCluster)
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980
  • 10-shot image generationonS3DIS Area5
    RQ· 2023-04-27
    48
    best: 60.1 (SuperCluster)
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980

Computer Vision4 results

  • Panoptic SegmentationonS3DIS Area5
    Params (M)· 2023-04-27
    38
    SOTA
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980
  • Panoptic SegmentationonS3DIS Area5
    SQ· 2023-04-27
    74.9
    best: 76.6 (SuperCluster)
    SOTA
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980
  • Panoptic SegmentationonS3DIS Area5
    PQ· 2023-04-27
    39.2
    best: 50.1 (SuperCluster)
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980
  • Panoptic SegmentationonS3DIS Area5
    RQ· 2023-04-27
    48
    best: 60.1 (SuperCluster)
    A Review of Panoptic Segmentation for Mobile Mapping Point CloudsarXiv:2304.13980