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Models/ResUNet

ResUNet

Reported on 7 benchmarks across 3 tasks · 2 papers · 4 SOTA

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

Medical6 results

  • Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
    Dice· 2017-11-29
    0.4702
    best: 0.4867 (X-Net)
    SOTA
    Road Extraction by Deep Residual U-NetarXiv:1711.10684
  • Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
    IoU· 2017-11-29
    0.3549
    best: 0.3803 (MGA-Net)
    SOTA
    Road Extraction by Deep Residual U-NetarXiv:1711.10684
  • Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
    Precision· 2017-11-29
    0.5941
    best: 0.6773 (MGA-Net)
    SOTA
    Road Extraction by Deep Residual U-NetarXiv:1711.10684
  • Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
    Recall· 2017-11-29
    0.4537
    best: 0.4752 (X-Net)
    SOTA
    Road Extraction by Deep Residual U-NetarXiv:1711.10684
  • Medical Image SegmentationonKvasir-SEG
    mean Dice· 2019-11-16
    0.7877
    best: 0.9502 (DUCK-Net)
    Kvasir-SEG: A Segmented Polyp DatasetarXiv:1911.07069
  • Semantic SegmentationonKvasir-SEG
    mDice· 2019-11-16
    0.7877
    best: 0.9258 (PVT-CASCADE)
    Kvasir-SEG: A Segmented Polyp DatasetarXiv:1911.07069

Audio1 result

  • 10-shot image generationonKvasir-SEG
    mDice· 2019-11-16
    0.7877
    best: 0.9258 (PVT-CASCADE)
    Kvasir-SEG: A Segmented Polyp DatasetarXiv:1911.07069