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Models/CaraNet

CaraNet

Reported on 20 benchmarks across 1 task · 1 paper · 8 SOTA

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

Medical20 results

  • Medical Image SegmentationonKvasir-SEG
    Average MAE· 2021-08-16
    0.023
    best: 0.021 (BDG-Net)
    SOTA
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonKvasir-SEG
    S-Measure· 2021-08-16
    0.929
    SOTA
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonKvasir-SEG
    max E-Measure· 2021-08-16
    0.968
    best: 0.972 (BDG-Net)
    SOTA
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    S-Measure· 2021-08-16
    0.868
    SOTA
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonCVC-ClinicDB
    Average MAE· 2021-08-16
    0.007
    best: 0.006 (DuAT)
    SOTA
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonCVC-ClinicDB
    S-Measure· 2021-08-16
    0.954
    best: 0.956 (COMMA (Res2Net-50))
    SOTA
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonCVC-ClinicDB
    mIoU· 2021-08-16
    0.887
    best: 0.9343 (DUCK-Net)
    SOTA
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonCVC-ClinicDB
    max E-Measure· 2021-08-16
    0.991
    SOTA
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonKvasir-SEG
    mIoU· 2021-08-16
    0.865
    best: 0.9065 (EffiSegNet-B5)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonKvasir-SEG
    mean Dice· 2021-08-16
    0.918
    best: 0.9502 (DUCK-Net)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    Average MAE· 2021-08-16
    0.017
    best: 0.012 (UACANet-L)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mIoU· 2021-08-16
    0.672
    best: 0.9179 (RAPUNet)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    max E-Measure· 2021-08-16
    0.894
    best: 0.905 (UACANet-L)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mean Dice· 2021-08-16
    0.747
    best: 0.9572 (RAPUNet)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonCVC-ColonDB
    Average MAE· 2021-08-16
    0.042
    best: 0.026 (DuAT)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonCVC-ColonDB
    S-Measure· 2021-08-16
    0.853
    best: 0.865 (Polyp-PVT)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonCVC-ColonDB
    mIoU· 2021-08-16
    0.689
    best: 0.9096 (RAPUNet)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonCVC-ColonDB
    max E-Measure· 2021-08-16
    0.902
    best: 0.913 (Polyp-PVT)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonCVC-ColonDB
    mean Dice· 2021-08-16
    0.773
    best: 0.9526 (RAPUNet)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368
  • Medical Image SegmentationonCVC-ClinicDB
    mean Dice· 2021-08-16
    0.936
    best: 0.9684 (DUCK-Net)
    CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsarXiv:2108.07368