Medical Image Segmentation on colon polyp
87.63mIoURad-VLSM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Rad-VLSM2026.05 | 87.63 | 92.94 | |
| TP-Seg-GeneralPublication=-, Training Protocol=One model for one task2026.04 | 87.28 | 86.66 | |
| TP-Seg-UnifiedPublication=-, Training Protocol=One model for all tasks2026.04 | 86.59 | 86.48 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for all tasks2026.04 | 86.53 | 83.26 | |
| SpiderPublication=ICML’24, Training Protocol=One model for one task2026.04 | 85.83 | 81.22 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for one task2026.04 | 85.7 | 81.48 | |
| SpiderPublication=ICML’24, Training Protocol=One model for all tasks2026.04 | 85.3 | 80.66 | |
| SegGPTPublication=ICCV’23, Training Protocol=One model for all tasks2026.04 | 84.66 | 78.29 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for one task2026.04 | 83.22 | 83.28 | |
| SimTxtSeg2026.05 | 82.47 | 88.24 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for all tasks2026.04 | 82.33 | 82.47 | |
| PraNet2026.05 | 81.32 | 87.3 | |
| WeakPolypPublication=MICCAI’23, Training Protocol=One model for one task2026.04 | 80.66 | 74.9 | |
| Ariadne’s Thread2026.05 | 80.65 | 87.14 | |
| WeakPolyp2026.05 | 79.4 | 85.61 | |
| BoxPolyp2026.05 | 79.11 | 86.86 | |
| TransUNetPublication=MIA’24, Training Protocol=One model for one task2026.04 | 75.52 | 66.41 | |
| ResUNet2026.05 | 75.31 | 82.6 | |
| LDNetPublication=MICCAI’23, Training Protocol=One model for one task2026.04 | 74.41 | 64.25 | |
| BoxShrink2026.05 | 64.22 | 78.21 | |
| S2ME2026.05 | 49.62 | 66.33 | |
| UNet++ w/o DSParams=9.04M, Deep Supervision=false2018.07 | 33.45 | — | |
| UNet++ w/ DSParams=9.04M, Deep Supervision=true2018.07 | 32.12 | — | |
| Wide U-NetParams=9.13M2018.07 | 30.14 | — | |
| U-NetParams=7.76M2018.07 | 30.08 | — |