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Models/FANet

FANet

Reported on 19 benchmarks across 1 task · 1 paper · 12 SOTA

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

Medical19 results

  • Medical Image SegmentationonISIC 2018
    DSC· 2021-03-31
    87.31
    best: 92.1 (ProMISe)
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonEM
    DSC· 2021-03-31
    0.9547
    best: 95.53 (EMCAD)
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonEM
    Precision· 2021-03-31
    0.9529
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonEM
    Recall· 2021-03-31
    0.9568
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonEM
    Specificity· 2021-03-31
    0.8096
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image Segmentationon2018 Data Science Bowl
    Dice· 2021-03-31
    0.9176
    best: 92.79 (ReN-UNet)
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image Segmentationon2018 Data Science Bowl
    Recall· 2021-03-31
    0.9222
    best: 0.9402 (MSRF-Net)
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonCVC-ClinicDB
    mean Dice· 2021-03-31
    0.9355
    best: 0.9684 (DUCK-Net)
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonCHASE_DB1
    DSC· 2021-03-31
    0.8108
    best: 0.8267 (MERIT-GCASCADE)
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonDRIVE
    Precision· 2021-03-31
    0.8189
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonDRIVE
    Recall· 2021-03-31
    0.8215
    best: 0.83 (PVT-GCASCADE)
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonDRIVE
    Specificity· 2021-03-31
    0.9826
    best: 0.9844 (MERIT-GCASCADE)
    SOTA
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonKvasir-SEG
    Average MAE· 2021-03-31
    0.8153
    best: 0.021 (BDG-Net)
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonKvasir-SEG
    mean Dice· 2021-03-31
    0.8803
    best: 0.9502 (DUCK-Net)
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonEM
    IoU· 2021-03-31
    0.9134
    best: 89.33 (UNet++)
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image Segmentationon2018 Data Science Bowl
    Precision· 2021-03-31
    0.9194
    best: 0.9596 (DoubleUNet)
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image Segmentationon2018 Data Science Bowl
    mIoU· 2021-03-31
    0.8569
    best: 87.22 (ReN-UNet)
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonDRIVE
    F1 score· 2021-03-31
    0.8183
    best: 0.8322 (FSG-Net)
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235
  • Medical Image SegmentationonDRIVE
    mIoU· 2021-03-31
    0.6927
    best: 0.8406 (FSG-Net)
    FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationarXiv:2103.17235