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Models/LGround

LGround

Reported on 6 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.

Medical2 results

  • Semantic SegmentationonScanNet200
    test mIoU· 2022-04-16
    27.2
    best: 44.9 (DITR)
    SOTA
    Language-Grounded Indoor 3D Semantic Segmentation in the WildarXiv:2204.07761
  • Semantic SegmentationonScanNet200
    val mIoU· 2022-04-16
    28.8
    best: 41.2 (DITR)
    SOTA
    Language-Grounded Indoor 3D Semantic Segmentation in the WildarXiv:2204.07761

Computer Vision2 results

  • 3D Semantic SegmentationonScanNet200
    test mIoU· 2022-04-16
    27.2
    best: 44.9 (DITR)
    SOTA
    Language-Grounded Indoor 3D Semantic Segmentation in the WildarXiv:2204.07761
  • 3D Semantic SegmentationonScanNet200
    val mIoU· 2022-04-16
    28.8
    best: 41.2 (DITR)
    SOTA
    Language-Grounded Indoor 3D Semantic Segmentation in the WildarXiv:2204.07761

Audio2 results

  • 10-shot image generationonScanNet200
    test mIoU· 2022-04-16
    27.2
    best: 44.9 (DITR)
    SOTA
    Language-Grounded Indoor 3D Semantic Segmentation in the WildarXiv:2204.07761
  • 10-shot image generationonScanNet200
    val mIoU· 2022-04-16
    28.8
    best: 41.2 (DITR)
    SOTA
    Language-Grounded Indoor 3D Semantic Segmentation in the WildarXiv:2204.07761