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Models/COMMA (ResNet-50)

COMMA (ResNet-50)

Reported on 10 benchmarks across 1 task

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

Medical10 results

  • Medical Image SegmentationonKvasir-SEG
    Average MAE
    0.024
    best: 0.021 (BDG-Net)
  • Medical Image SegmentationonKvasir-SEG
    S-Measure
    0.925
    best: 0.929 (CaraNet)
  • Medical Image SegmentationonKvasir-SEG
    mIoU
    0.86
    best: 0.9065 (EffiSegNet-B5)
  • Medical Image SegmentationonKvasir-SEG
    max E-Measure
    0.963
    best: 0.972 (BDG-Net)
  • Medical Image SegmentationonKvasir-SEG
    mean Dice
    0.904
    best: 0.9502 (DUCK-Net)
  • Medical Image SegmentationonCVC-ClinicDB
    Average MAE
    0.008
    best: 0.006 (DuAT)
  • Medical Image SegmentationonCVC-ClinicDB
    S-Measure
    0.947
    best: 0.956 (COMMA (Res2Net-50))
  • Medical Image SegmentationonCVC-ClinicDB
    mIoU
    0.871
    best: 0.9343 (DUCK-Net)
  • Medical Image SegmentationonCVC-ClinicDB
    max E-Measure
    0.979
    best: 0.991 (CaraNet)
  • Medical Image SegmentationonCVC-ClinicDB
    mean Dice
    0.916
    best: 0.9684 (DUCK-Net)