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Models/HarDNet-MSEG

HarDNet-MSEG

Reported on 11 benchmarks across 1 task · 1 paper · 9 SOTA

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

Medical11 results

  • Medical Image SegmentationonKvasir-SEG
    Average MAE· 2021-01-18
    0.025
    best: 0.021 (BDG-Net)
    SOTA
    HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSarXiv:2101.07172
  • Medical Image SegmentationonKvasir-SEG
    S-Measure· 2021-01-18
    0.923
    best: 0.929 (CaraNet)
    SOTA
    HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSarXiv:2101.07172
  • Medical Image SegmentationonKvasir-SEG
    mIoU· 2021-01-18
    0.857
    best: 0.9065 (EffiSegNet-B5)
    SOTA
    HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSarXiv:2101.07172
  • Medical Image SegmentationonKvasir-SEG
    max E-Measure· 2021-01-18
    0.958
    best: 0.972 (BDG-Net)
    SOTA
    HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSarXiv:2101.07172
  • Medical Image SegmentationonKvasir-SEG
    mean Dice· 2021-01-18
    0.912
    best: 0.9502 (DUCK-Net)
    SOTA
    HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSarXiv:2101.07172
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mean Dice· 2021-01-18
    0.677
    best: 0.9572 (RAPUNet)
    SOTA
    HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSarXiv:2101.07172
  • Medical Image SegmentationonCVC-ColonDB
    mIoU· 2021-01-18
    0.66
    best: 0.9096 (RAPUNet)
    SOTA
    HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSarXiv:2101.07172
  • Medical Image SegmentationonCVC-ColonDB
    mean Dice· 2021-01-18
    0.731
    best: 0.9526 (RAPUNet)
    SOTA
    HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSarXiv:2101.07172
  • Medical Image SegmentationonCVC-ClinicDB
    mean Dice· 2021-01-18
    0.932
    best: 0.9684 (DUCK-Net)
    SOTA
    HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSarXiv:2101.07172
  • Medical Image SegmentationonKvasir-SEG
    FPS· 2021-01-18
    116
    best: 182.38 (ColonSegNet)
    HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSarXiv:2101.07172
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mIoU· 2021-01-18
    0.613
    best: 0.9179 (RAPUNet)
    HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSarXiv:2101.07172