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Models/PNSNet

PNSNet

Reported on 12 benchmarks across 1 task · 1 paper · 11 SOTA

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

Medical12 results

  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    Dice· 2021-05-18
    0.676
    best: 0.9 (YOLO-SAM 2)
    SOTA
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468
  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    S measure· 2021-05-18
    0.767
    best: 0.9 (YOLO-SAM 2)
    SOTA
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468
  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    Sensitivity· 2021-05-18
    0.574
    best: 83.7 (YOLO-SAM 2)
    SOTA
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468
  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    mean F-measure· 2021-05-18
    0.664
    best: 93.8 (YOLO-SAM 2)
    SOTA
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468
  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    weighted F-measure· 2021-05-18
    0.616
    best: 0.794 (SALI)
    SOTA
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    Dice· 2021-05-18
    0.675
    best: 0.902 (YOLO-SAM 2)
    SOTA
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    S-Measure· 2021-05-18
    0.767
    best: 0.894 (YOLO-SAM 2)
    SOTA
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    Sensitivity· 2021-05-18
    0.579
    best: 0.852 (YOLO-SAM 2)
    SOTA
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    mean E-measure· 2021-05-18
    0.755
    best: 0.941 (YOLO-SAM 2)
    SOTA
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    mean F-measure· 2021-05-18
    0.656
    best: 0.932 (YOLO-SAM 2)
    SOTA
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    weighted F-measure· 2021-05-18
    0.609
    best: 0.79 (SALI)
    SOTA
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468
  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    mean E-measure· 2021-05-18
    0.744
    best: 93.8 (YOLO-SAM 2)
    Progressively Normalized Self-Attention Network for Video Polyp SegmentationarXiv:2105.08468