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Models/UACANet-L

UACANet-L

Reported on 16 benchmarks across 1 task · 1 paper · 5 SOTA

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

Medical16 results

  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    Average MAE· 2021-07-06
    0.012
    SOTA
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    S-Measure· 2021-07-06
    0.859
    best: 0.868 (CaraNet)
    SOTA
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    max E-Measure· 2021-07-06
    0.905
    SOTA
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mean Dice· 2021-07-06
    0.766
    best: 0.9572 (RAPUNet)
    SOTA
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonCVC-ColonDB
    Average MAE· 2021-07-06
    0.039
    best: 0.026 (DuAT)
    SOTA
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonKvasir-SEG
    Average MAE· 2021-07-06
    0.025
    best: 0.021 (BDG-Net)
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonKvasir-SEG
    S-Measure· 2021-07-06
    0.917
    best: 0.929 (CaraNet)
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonKvasir-SEG
    mIoU· 2021-07-06
    0.862
    best: 0.9065 (EffiSegNet-B5)
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonKvasir-SEG
    max E-Measure· 2021-07-06
    0.958
    best: 0.972 (BDG-Net)
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonKvasir-SEG
    mean Dice· 2021-07-06
    0.912
    best: 0.9502 (DUCK-Net)
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mIoU· 2021-07-06
    0.689
    best: 0.9179 (RAPUNet)
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonCVC-ColonDB
    S-Measure· 2021-07-06
    0.835
    best: 0.865 (Polyp-PVT)
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonCVC-ColonDB
    mIoU· 2021-07-06
    0.678
    best: 0.9096 (RAPUNet)
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonCVC-ColonDB
    max E-Measure· 2021-07-06
    0.878
    best: 0.913 (Polyp-PVT)
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonCVC-ColonDB
    mean Dice· 2021-07-06
    0.751
    best: 0.9526 (RAPUNet)
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368
  • Medical Image SegmentationonCVC-ClinicDB
    mean Dice· 2021-07-06
    0.926
    best: 0.9684 (DUCK-Net)
    UACANet: Uncertainty Augmented Context Attention for Polyp SegmentationarXiv:2107.02368