Polyp Segmentation on Kvasir-SEG
0.879mIoUFAGF-Net
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| FAGF-Net2024.09 | 0.879 | 0.927 | — | — | — | — | — | — | — | — | |
| SSFormer2024.09 | 0.864 | 0.917 | — | — | — | — | — | — | — | — | |
| Polyp-PVT2024.09 | 0.864 | 0.917 | — | — | — | — | — | — | — | — | |
| RIGS-RefinerBackbone=PraNet, Delta Params=+519, Delta GFLOPs=+0.6312026.07 | 0.8634 | — | — | — | — | — | — | — | 19.44 | 93.32 | |
| rNCABackbone=PraNet, Delta Params=+13 649, Delta GFLOPs=+3.782026.07 | 0.8633 | — | — | — | — | — | — | — | 19.39 | 93.25 | |
| SegFixBackbone=PraNet, Delta Params=+11 369, Delta GFLOPs=+1.422026.07 | 0.8632 | — | — | — | — | — | — | — | 19.45 | 93.2 | |
| CascadePSPBackbone=PraNet, Delta Params=+1 364 265, Delta GFLOPs=+63.462026.07 | 0.8632 | — | — | — | — | — | — | — | 19.62 | 93.46 | |
| CFA-Net2024.09 | 0.861 | 0.915 | — | — | — | — | — | — | — | — | |
| IC-PolypSeg2024.09 | 0.859 | 0.91 | — | — | — | — | — | — | — | — | |
| HarDNet-MSEGFPS=88, Resolution=312x312, Hardware=GeForce RTX 2080 Ti2021.01 | 0.857 | 0.912 | 0.903 | 0.923 | 0.025 | 0.958 | — | — | — | — | |
| BaselineBackbone=PraNet, Delta Params=0, Delta GFLOPs=0.0002026.07 | 0.8566 | — | — | — | — | — | — | — | 20.21 | 92.33 | |
| EoSeg2026.06 | 0.8535 | 0.9108 | — | — | — | — | 93.08 | 91.5 | — | — | |
| CascadePSPBackbone=SegFormer-B0, Delta Params=+1 364 265, Delta GFLOPs=+63.462026.07 | 0.8518 | — | — | — | — | — | — | — | 20.74 | 91.47 | |
| RIGS-RefinerBackbone=SegFormer-B0, Delta Params=+519, Delta GFLOPs=+0.6312026.07 | 0.8517 | — | — | — | — | — | — | — | 20.75 | 91.59 | |
| rNCABackbone=SegFormer-B0, Delta Params=+13 649, Delta GFLOPs=+3.782026.07 | 0.8515 | — | — | — | — | — | — | — | 20.66 | 91.01 | |
| SegFixBackbone=SegFormer-B0, Delta Params=+11 369, Delta GFLOPs=+1.422026.07 | 0.8512 | — | — | — | — | — | — | — | 20.76 | 91.16 | |
| MSNet2024.09 | 0.849 | 0.905 | — | — | — | — | — | — | — | — | |
| BaselineBackbone=SegFormer-B0, Delta Params=0, Delta GFLOPs=0.0002026.07 | 0.849 | — | — | — | — | — | — | — | 21.37 | 90.79 | |
| SANet2024.09 | 0.847 | 0.904 | — | — | — | — | — | — | — | — | |
| IRv2-NetTTA=true2026.06 | 0.846 | 0.8696 | — | — | — | — | 91.71 | 89.19 | — | — | |
| PraNetFPS=66, Resolution=312x312, Hardware=GeForce RTX 2080 Ti2021.01 | 0.84 | 0.898 | 0.885 | 0.915 | 0.03 | 0.948 | — | — | — | — | |
| MSEG2024.09 | 0.839 | 0.897 | — | — | — | — | — | — | — | — | |
| Wavelet-Based Cross-Band Integration Framework2026.03 | 0.822 | 0.885 | — | — | — | — | — | — | — | — | |
| FCBFormerTraining data=CVC-ClinicDB [2]2022.08 | 0.8214 | 0.8848 | — | — | — | — | 93.54 | 87.54 | — | — | |
| CRCNet2026.03 | 0.815 | 0.879 | — | — | — | — | — | — | — | — | |
| ResUNet++TTA=true2026.06 | 0.8038 | 0.8196 | — | — | — | — | 96.45 | 71.26 | — | — | |
| MEGANet2026.03 | 0.802 | 0.863 | — | — | — | — | — | — | — | — | |
| Polyper2026.03 | 0.796 | 0.867 | — | — | — | — | — | — | — | — | |
| ResUNet++Resolution=312x312, Hardware=GeForce RTX 2080 Ti2021.01 | 0.793 | 0.813 | — | — | — | — | — | — | — | — | |
| DDANet2026.06 | 0.78 | 0.8576 | — | — | — | — | 86.43 | 88.8 | — | — | |
| DeepLabv3+2026.06 | 0.7759 | 0.8572 | — | — | — | — | 89.07 | 86.16 | — | — | |
| UACANet2026.06 | 0.7692 | 0.8502 | — | — | — | — | 87.06 | 87.99 | — | — | |
| ConvSegNet2026.03 | 0.765 | 0.856 | — | — | — | — | — | — | — | — | |
| YOLO-SAM 22024.09 | 0.764 | 0.866 | — | — | — | — | — | — | — | — | |
| DUCKNet2026.03 | 0.751 | 0.818 | — | — | — | — | — | — | — | — | |
| U-NetFPS=53, Resolution=312x312, Hardware=GeForce RTX 2080 Ti2021.01 | 0.746 | 0.818 | 0.794 | 0.858 | 0.055 | 0.893 | — | — | — | — | |
| UNet2024.09 | 0.746 | 0.818 | — | — | — | — | — | — | — | — | |
| UNet++2024.09 | 0.744 | 0.821 | — | — | — | — | — | — | — | — | |
| U-Net++FPS=25, Resolution=312x312, Hardware=GeForce RTX 2080 Ti2021.01 | 0.743 | 0.821 | 0.808 | 0.862 | 0.048 | 0.91 | — | — | — | — | |
| Yolo-SAM2024.09 | 0.742 | 0.852 | — | — | — | — | — | — | — | — | |
| DoubleUNet2026.06 | 0.7332 | 0.8129 | — | — | — | — | 86.11 | 84.02 | — | — | |
| SAM-Path2024.09 | 0.73 | 0.828 | — | — | — | — | — | — | — | — | |
| NanoNet-A2026.06 | 0.7282 | 0.8227 | — | — | — | — | 83.67 | 85.88 | — | — | |
| PraNetTraining data=CVC-ClinicDB [2]2022.08 | 0.7073 | 0.795 | — | — | — | — | 76.87 | 90.5 | — | — | |
| UNet2026.03 | 0.668 | 0.775 | — | — | — | — | — | — | — | — | |
| MSRF-NetTraining data=CVC-ClinicDB [2]2022.08 | 0.6415 | 0.7296 | — | — | — | — | 81.62 | 74.21 | — | — | |
| UNext2026.06 | 0.6284 | 0.7318 | — | — | — | — | 90.43 | 88.43 | — | — | |
| CaraNet2026.03 | 0.628 | 0.727 | — | — | — | — | — | — | — | — | |
| SFAFPS=40, Resolution=312x312, Hardware=GeForce RTX 2080 Ti2021.01 | 0.611 | 0.723 | 0.67 | 0.782 | 0.075 | 0.849 | — | — | — | — | |
| SurgicalSAM2024.09 | 0.597 | 0.74 | — | — | — | — | — | — | — | — | |
| PraNet2026.03 | 0.524 | 0.65 | — | — | — | — | — | — | — | — | |
| U-NetTraining data=CVC-ClinicDB [2]2022.08 | 0.4036 | 0.5292 | — | — | — | — | 46.13 | 84.81 | — | — | |
| ResUNetTraining data=CVC-ClinicDB [2]2022.08 | 0.2222 | 0.3344 | — | — | — | — | 26.18 | 81.64 | — | — | |
| ResUNet++Training data=CVC-ClinicDB [2]2022.08 | 0.2048 | 0.3077 | — | — | — | — | 33.4 | 47.78 | — | — | |
| ResUNet-modResolution=312x312, Hardware=GeForce RTX 2080 Ti2021.01 | — | 0.791 | — | — | — | — | — | — | — | — |