Polyp Segmentation on CVC-300 (test)
91mDiceUACANet-L
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| UACANet-Lvariant=large2021.07 | 91 | 84.9 | 0.5 | — | — | — | — | |
| UACANet-Svariant=small2021.07 | 90.2 | 83.7 | 0.6 | — | — | — | — | |
| CaraNet2024.08 | 90.2 | 83.6 | — | — | — | — | — | |
| SAM2-UNetResolution=352x352, Multi-scale training={1, 1.25}2024.08 | 89.4 | 82.7 | — | — | — | — | — | |
| CFA-Net2024.08 | 89.3 | 82.7 | — | — | — | — | — | |
| SANet2024.08 | 88.8 | 81.5 | — | — | — | — | — | |
| PraNet2021.07 | 87.1 | 79.7 | 1 | — | — | — | — | |
| PraNet2024.08 | 87.1 | 79.7 | — | — | — | — | — | |
| U-Net2021.07 | 71 | 62.7 | 2.2 | — | — | — | — | |
| U-Net++2021.07 | 70.7 | 62.4 | 1.8 | — | — | — | — | |
| SFA2021.07 | 46.7 | 32.9 | 6.5 | — | — | — | — | |
| SAMed + SAIFCategory=SAM-based, Prompting Strategy=Box prompts, Inference Strategy=SAIF2026.03 | 0.9475 | 0.9054 | — | — | — | — | — | |
| GRAFNet2026.02 | 0.9461 | 0.8896 | — | 0.9575 | 0.9917 | 0.9105 | 0.9105 | |
| MDPNet2026.02 | 0.9241 | 0.8618 | — | 0.9422 | 0.9724 | 0.8489 | 0.8967 | |
| SAM Adapter + SAIFCategory=SAM-based, Prompting Strategy=Box prompts, Inference Strategy=SAIF2026.03 | 0.9233 | 0.855 | — | — | — | — | — | |
| FoBS2026.02 | 0.9011 | 0.8176 | — | 0.9012 | 0.9451 | 0.8567 | 0.9011 | |
| Polyp-PVTCategory=Train-based, Prompting Strategy=Prompt-free2026.03 | 0.9003 | 0.8335 | — | — | — | — | — | |
| SAMedCategory=SAM-based, Prompting Strategy=Box prompts2026.03 | 0.8923 | 0.8332 | — | — | — | — | — | |
| UNet++2026.02 | 0.8812 | 0.8279 | — | 0.9012 | 0.9123 | 0.8387 | 0.8345 | |
| DilatedSegNet2026.02 | 0.8801 | 0.8043 | — | 0.9327 | 0.9567 | 0.8367 | 0.8312 | |
| PraNetCategory=Train-based, Prompting Strategy=Prompt-free2026.03 | 0.8732 | 0.8048 | — | — | — | — | — | |
| CMUNext2026.02 | 0.8715 | 0.7723 | — | 0.9147 | 0.9507 | 0.8287 | 0.8334 | |
| MSNetCategory=Train-based, Prompting Strategy=Prompt-free2026.03 | 0.8693 | 0.8077 | — | — | — | — | — | |
| SAM AdapterCategory=SAM-based, Prompting Strategy=Box prompts2026.03 | 0.8619 | 0.8177 | — | — | — | — | — | |
| AGCNet2026.02 | 0.8555 | 0.759 | — | 0.9035 | 0.9478 | 0.8134 | 0.8134 | |
| EU-NetCategory=Train-based, Prompting Strategy=Prompt-free2026.03 | 0.8376 | 0.7655 | — | — | — | — | — | |
| ColonSegNet2026.02 | 0.8308 | 0.7137 | — | 0.8742 | 0.9589 | 0.7887 | 0.7912 | |
| CE-Net2026.02 | 0.8201 | 0.7069 | — | 0.8586 | 0.9021 | 0.7812 | 0.7834 | |
| MedSAM + SAIFCategory=SAM-based, Prompting Strategy=Box prompts, Inference Strategy=SAIF2026.03 | 0.8197 | 0.7091 | — | — | — | — | — | |
| FCB-Former2026.02 | 0.8015 | 0.6951 | — | 0.8957 | 0.9255 | 0.7623 | 0.7178 | |
| SGU-Net2026.02 | 0.7891 | 0.6859 | — | 0.8819 | 0.9017 | 0.7512 | 0.7234 | |
| MedSAMCategory=SAM-based, Prompting Strategy=Box prompts2026.03 | 0.7778 | 0.6499 | — | — | — | — | — | |
| DUCK-Net2026.02 | 0.7598 | 0.6278 | — | 0.8911 | 0.9513 | 0.7234 | 0.6423 | |
| SegNet2026.02 | 0.7475 | 0.6312 | — | 0.8879 | 0.9032 | 0.7123 | 0.6234 | |
| U-NetCategory=Train-based, Prompting Strategy=Prompt-free2026.03 | 0.7107 | 0.6276 | — | — | — | — | — | |
| U-Net++Category=Train-based, Prompting Strategy=Prompt-free2026.03 | 0.7072 | 0.6246 | — | — | — | — | — | |
| UNet2026.02 | 0.6079 | 0.5453 | — | 0.6949 | 0.7647 | 0.5789 | 0.5345 | |
| SAMCategory=SAM-based, Prompting Strategy=Box prompts2026.03 | 0.45 | 0.3862 | — | — | — | — | — |