TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/DUCK-Net

DUCK-Net

Reported on 10 benchmarks across 1 task · 2 papers · 10 SOTA

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

Medical12 results

  • Medical Image SegmentationonKvasir-SEG
    Precision· 2023-11-03
    0.9628
    best: 0.9713 (EffiSegNet-B5)
    SOTA
    Using DUCK-Net for Polyp Image SegmentationarXiv:2311.02239
  • Medical Image SegmentationonKvasir-SEG
    Recall· 2023-11-03
    0.9379
    best: 0.9429 (EffiSegNet-B4)
    SOTA
    Using DUCK-Net for Polyp Image SegmentationarXiv:2311.02239
  • Medical Image SegmentationonKvasir-SEG
    mIoU· 2023-11-03
    0.9051
    best: 0.9065 (EffiSegNet-B5)
    SOTA
    Using DUCK-Net for Polyp Image SegmentationarXiv:2311.02239
  • Medical Image SegmentationonKvasir-SEG
    mean Dice· 2023-11-03
    0.9502
    SOTA
    Using DUCK-Net for Polyp Image SegmentationarXiv:2311.02239
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mIoU· 2023-11-03
    0.8788
    best: 0.9179 (RAPUNet)
    SOTA
    Using DUCK-Net for Polyp Image SegmentationarXiv:2311.02239
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mean Dice· 2023-11-03
    0.9354
    best: 0.9572 (RAPUNet)
    SOTA
    Using DUCK-Net for Polyp Image SegmentationarXiv:2311.02239
  • Medical Image SegmentationonCVC-ColonDB
    mIoU· 2023-11-03
    0.8785
    best: 0.9096 (RAPUNet)
    SOTA
    Using DUCK-Net for Polyp Image SegmentationarXiv:2311.02239
  • Medical Image SegmentationonCVC-ColonDB
    mean Dice· 2023-11-03
    0.9353
    best: 0.9526 (RAPUNet)
    SOTA
    Using DUCK-Net for Polyp Image SegmentationarXiv:2311.02239
  • Medical Image SegmentationonCVC-ClinicDB
    mIoU· 2022-07-16
    0.9343
    SOTA
    Adaptive t-vMF Dice Loss for Multi-class Medical Image SegmentationarXiv:2207.07842
  • Medical Image SegmentationonCVC-ClinicDB
    mean Dice· 2022-07-16
    0.9684
    SOTA
    Adaptive t-vMF Dice Loss for Multi-class Medical Image SegmentationarXiv:2207.07842
  • Medical Image SegmentationonCVC-ClinicDB
    mIoU· 2023-11-03
    0.9009
    best: 0.9343
    Using DUCK-Net for Polyp Image SegmentationarXiv:2311.02239
  • Medical Image SegmentationonCVC-ClinicDB
    mean Dice· 2023-11-03
    0.9478
    best: 0.9684
    Using DUCK-Net for Polyp Image SegmentationarXiv:2311.02239