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Models/DDANet

DDANet

Reported on 9 benchmarks across 1 task · 2 papers · 5 SOTA

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

Medical9 results

  • Medical Image SegmentationonROBUST-MIS
    DSC· 2021-07-05
    0.8739
    best: 93.7 (SegMatch)
    SOTA
    Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in LaparoscopyarXiv:2107.02319
  • Medical Image SegmentationonROBUST-MIS
    mIoU· 2021-07-05
    0.8183
    best: 86.6 (AdapterSIS )
    SOTA
    Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in LaparoscopyarXiv:2107.02319
  • Medical Image SegmentationonEndotect Polyp Segmentation Challenge Dataset
    DSC· 2020-12-30
    0.787
    best: 0.8565 (PEFNet)
    SOTA
    DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationarXiv:2012.15245
  • Medical Image SegmentationonEndotect Polyp Segmentation Challenge Dataset
    FPS· 2020-12-30
    70.23
    SOTA
    DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationarXiv:2012.15245
  • Medical Image SegmentationonEndotect Polyp Segmentation Challenge Dataset
    mIoU· 2020-12-30
    0.701
    best: 0.7967 (PEFNet)
    SOTA
    DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationarXiv:2012.15245
  • Medical Image SegmentationonROBUST-MIS
    FPS· 2021-07-05
    101.36
    best: 185.54 (ColonsegNet)
    Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in LaparoscopyarXiv:2107.02319
  • Medical Image SegmentationonKvasir-SEG
    FPS· 2020-12-30
    69.59
    best: 182.38 (ColonSegNet)
    DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationarXiv:2012.15245
  • Medical Image SegmentationonKvasir-SEG
    mIoU· 2020-12-30
    0.78
    best: 0.9065 (EffiSegNet-B5)
    DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationarXiv:2012.15245
  • Medical Image SegmentationonKvasir-SEG
    mean Dice· 2020-12-30
    0.8576
    best: 0.9502 (DUCK-Net)
    DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationarXiv:2012.15245