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Models/PTv3 ArKitLabelmaker

PTv3 ArKitLabelmaker

Reported on 6 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.

Medical2 results

  • Semantic SegmentationonScanNet200
    test mIoU· uses extra data· 2024-10-17
    41.4
    best: 44.9 (DITR)
    SOTA
    ARKit LabelMaker: A New Scale for Indoor 3D Scene UnderstandingarXiv:2410.13924
  • Semantic SegmentationonScanNet200
    val mIoU· uses extra data· 2024-10-17
    40.3
    best: 41.2 (DITR)
    ARKit LabelMaker: A New Scale for Indoor 3D Scene UnderstandingarXiv:2410.13924

Computer Vision2 results

  • 3D Semantic SegmentationonScanNet200
    test mIoU· uses extra data· 2024-10-17
    41.4
    best: 44.9 (DITR)
    SOTA
    ARKit LabelMaker: A New Scale for Indoor 3D Scene UnderstandingarXiv:2410.13924
  • 3D Semantic SegmentationonScanNet200
    val mIoU· uses extra data· 2024-10-17
    40.3
    best: 41.2 (DITR)
    ARKit LabelMaker: A New Scale for Indoor 3D Scene UnderstandingarXiv:2410.13924

Audio2 results

  • 10-shot image generationonScanNet200
    test mIoU· uses extra data· 2024-10-17
    41.4
    best: 44.9 (DITR)
    SOTA
    ARKit LabelMaker: A New Scale for Indoor 3D Scene UnderstandingarXiv:2410.13924
  • 10-shot image generationonScanNet200
    val mIoU· uses extra data· 2024-10-17
    40.3
    best: 41.2 (DITR)
    ARKit LabelMaker: A New Scale for Indoor 3D Scene UnderstandingarXiv:2410.13924