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Models/TransFuse-S

TransFuse-S

Reported on 7 benchmarks across 1 task · 1 paper · 2 SOTA

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

Medical7 results

  • Medical Image SegmentationonCVC-ColonDB
    mIoU· 2021-02-16
    0.696
    best: 0.9096 (RAPUNet)
    SOTA
    TransFuse: Fusing Transformers and CNNs for Medical Image SegmentationarXiv:2102.08005
  • Medical Image SegmentationonCVC-ColonDB
    mean Dice· 2021-02-16
    0.773
    best: 0.9526 (RAPUNet)
    SOTA
    TransFuse: Fusing Transformers and CNNs for Medical Image SegmentationarXiv:2102.08005
  • Medical Image SegmentationonKvasir-SEG
    mIoU· 2021-02-16
    0.868
    best: 0.9065 (EffiSegNet-B5)
    TransFuse: Fusing Transformers and CNNs for Medical Image SegmentationarXiv:2102.08005
  • Medical Image SegmentationonKvasir-SEG
    mean Dice· 2021-02-16
    0.918
    best: 0.9502 (DUCK-Net)
    TransFuse: Fusing Transformers and CNNs for Medical Image SegmentationarXiv:2102.08005
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mIoU· 2021-02-16
    0.659
    best: 0.9179 (RAPUNet)
    TransFuse: Fusing Transformers and CNNs for Medical Image SegmentationarXiv:2102.08005
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mean Dice· 2021-02-16
    0.733
    best: 0.9572 (RAPUNet)
    TransFuse: Fusing Transformers and CNNs for Medical Image SegmentationarXiv:2102.08005
  • Medical Image SegmentationonCVC-ClinicDB
    mean Dice· 2021-02-16
    0.918
    best: 0.9684 (DUCK-Net)
    TransFuse: Fusing Transformers and CNNs for Medical Image SegmentationarXiv:2102.08005