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Models/CMNeXt (RGB-D-E-LiDAR)

CMNeXt (RGB-D-E-LiDAR)

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Medical3 results

  • Semantic SegmentationonDELIVER
    mIoU· 2023-03-02
    66.3
    best: 67.8 (CAFuser)
    SOTA
    Delivering Arbitrary-Modal Semantic SegmentationarXiv:2303.01480
  • Semantic SegmentationonKITTI-360
    mIoU· 2023-03-02
    67.84
    best: 68.74 (DiPFormer)
    SOTA
    Delivering Arbitrary-Modal Semantic SegmentationarXiv:2303.01480
  • Semantic SegmentationonDeLiVER
    mIoU· 2023-03-02
    66.3
    best: 68.6 (CAFuser-CAA)
    SOTA
    Delivering Arbitrary-Modal Semantic SegmentationarXiv:2303.01480

Audio3 results

  • 10-shot image generationonDELIVER
    mIoU· 2023-03-02
    66.3
    best: 67.8 (CAFuser)
    SOTA
    Delivering Arbitrary-Modal Semantic SegmentationarXiv:2303.01480
  • 10-shot image generationonKITTI-360
    mIoU· 2023-03-02
    67.84
    best: 68.74 (DiPFormer)
    SOTA
    Delivering Arbitrary-Modal Semantic SegmentationarXiv:2303.01480
  • 10-shot image generationonDeLiVER
    mIoU· 2023-03-02
    66.3
    best: 68.6 (CAFuser-CAA)
    SOTA
    Delivering Arbitrary-Modal Semantic SegmentationarXiv:2303.01480