Polyp Segmentation on ClinicDB
0.9532mDiceEMCAD + XAttnRes
Evaluation results
| Method | Links | ||
|---|---|---|---|
| EMCAD + XAttnRes#Params=28.09M, #FLOPs=5.76G2026.03 | 0.9532 | — | |
| EMCAD#Params=26.76M, #FLOPs=5.60G2026.03 | 0.9521 | — | |
| PVT-CASCADE#Params=34.12M, #FLOPs=7.62G2026.03 | 0.9453 | — | |
| TransFuse-L*model_size=Large, variant=*2021.02 | 0.942 | 0.897 | |
| CaraNet#Params=46.64M, #FLOPs=11.48G2026.03 | 0.9408 | — | |
| T2I-AdapterSegmentation Baseline=Polyp-PVT2025.07 | 0.94 | 0.892 | |
| TransUNet#Params=105.32M, #FLOPs=38.52G2026.03 | 0.939 | — | |
| Polyp-PVTSegmentation Baseline=Polyp-PVT2025.07 | 0.937 | 0.889 | |
| TransUnet2021.02 | 0.935 | 0.887 | |
| Copy-PasteSegmentation Baseline=Polyp-PVT2025.07 | 0.934 | 0.887 | |
| TransFuse-Lmodel_size=Large2021.02 | 0.934 | 0.886 | |
| SETR-PUP2021.02 | 0.934 | 0.885 | |
| DeepLabv3+#Params=39.76M, #FLOPs=14.92G2026.03 | 0.9324 | — | |
| UCTransUnet#Params=66.49M, #FLOPs=43.06G2026.03 | 0.9324 | — | |
| HarDNet-MSEG2021.02 | 0.932 | 0.882 | |
| SAM-EGParams(M)=3.72024.06 | 0.931 | 0.879 | |
| Adaptively Distilled ControlNetSegmentation Baseline=Polyp-PVT2025.07 | 0.93 | 0.885 | |
| Adaptively Distilled ControlNetSegmentation Baseline=SANet2025.07 | 0.929 | 0.874 | |
| Unet3+#Params=26.97M, #FLOPs=199.74G2026.03 | 0.926 | — | |
| KDASParams(M)=3.72023.12 | 0.925 | 0.872 | |
| SwinUNet#Params=27.17M, #FLOPs=6.20G2026.03 | 0.9242 | — | |
| UNet + XAttnRes#Params=1.28M, #FLOPs=2.87G2026.03 | 0.9235 | — | |
| ArSDMSegmentation Baseline=Polyp-PVT2025.07 | 0.922 | 0.875 | |
| Attn U-Net#Params=34.88M, #FLOPs=66.64G2026.03 | 0.922 | — | |
| UNet++#Params=9.16M, #FLOPs=34.65G2026.03 | 0.9217 | — | |
| U-Net#Params=1.06M, #FLOPs=2.50G2026.03 | 0.9213 | — | |
| MSNetParams(M)=29.72023.12 | 0.921 | 0.879 | |
| MSNetParams(M)=29.72024.06 | 0.921 | 0.879 | |
| TransFuse-Smodel_size=Small2021.02 | 0.918 | 0.868 | |
| PraNet#Params=32.55M, #FLOPs=6.93G2026.03 | 0.9171 | — | |
| SinGANSegmentation Baseline=Polyp-PVT2025.07 | 0.917 | 0.87 | |
| HarDNet-CPS2023.12 | 0.917 | 0.887 | |
| HarDNet-CPSParams(M)=33.32024.06 | 0.917 | 0.887 | |
| SANetSegmentation Baseline=SANet2025.07 | 0.916 | 0.859 | |
| ArSDMSegmentation Baseline=SANet2025.07 | 0.914 | 0.861 | |
| ControlNetSegmentation Baseline=Polyp-PVT2025.07 | 0.913 | 0.859 | |
| T2I-AdapterSegmentation Baseline=SANet2025.07 | 0.912 | 0.855 | |
| ControlNetSegmentation Baseline=SANet2025.07 | 0.911 | 0.858 | |
| SinGANSegmentation Baseline=SANet2025.07 | 0.909 | 0.853 | |
| Copy-PasteSegmentation Baseline=SANet2025.07 | 0.902 | 0.851 | |
| M2UNetParams(M)=28.72024.06 | 0.901 | 0.853 | |
| PraNetEpoch=20, Lr=0.0001, Training=~30 minutes, Inference=~50fps2020.06 | 0.899 | — | |
| PraNet2021.02 | 0.899 | 0.849 | |
| PraNetParams(M)=32.62023.12 | 0.899 | 0.849 | |
| PraNetParams(M)=32.62024.06 | 0.899 | 0.849 | |
| nnUNetSegmentation Baseline=nnUNet2025.07 | 0.897 | 0.85 | |
| Copy-PasteSegmentation Baseline=nnUNet2025.07 | 0.895 | 0.85 | |
| ArSDMSegmentation Baseline=nnUNet2025.07 | 0.893 | 0.845 | |
| Adaptively Distilled ControlNetSegmentation Baseline=nnUNet2025.07 | 0.889 | 0.84 | |
| SinGANSegmentation Baseline=nnUNet2025.07 | 0.888 | 0.84 | |
| ControlNetSegmentation Baseline=nnUNet2025.07 | 0.886 | 0.838 | |
| T2I-AdapterSegmentation Baseline=nnUNet2025.07 | 0.879 | 0.829 | |
| PEFNetParams(M)=28.02023.12 | 0.866 | 0.814 | |
| PEFNetParams(M)=28.02024.06 | 0.866 | 0.814 | |
| UNetParams(M)=7.62023.12 | 0.824 | 0.767 | |
| UNetParams(M)=7.62024.06 | 0.824 | 0.767 | |
| U-Net (MICCAI'15)Epoch=30, Lr=0.0003, Training=~40 minutes, Inference=~8fps2020.06 | 0.823 | — | |
| U-Net2021.02 | 0.823 | 0.75 | |
| ResUNet++2021.02 | 0.796 | 0.796 | |
| U-Net++ (TMI'19)Epoch=30, Lr=0.0003, Training=~45 minutes, Inference=~7fps2020.06 | 0.794 | — | |
| U-Net++2021.02 | 0.794 | 0.729 | |
| UNet++Params(M)=9.02023.12 | 0.794 | 0.729 | |
| UNet++Params(M)=9.02024.06 | 0.794 | 0.729 | |
| SFA (MICCAI'19)Epoch=500, Lr=0.01, Training=>20 hours, Inference=~40fps2020.06 | 0.7 | — |