3D Medical Segmentation on TotalSegmentator binary 10-shot
88.51Gallbladder ScoreSEA-PEFT
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SEA-PEFTPre-trained backbone=SuPreM2026.03 | 88.51 | 57.88 | 80.98 | 78.95 | 93.35 | 79.93 | |
| Spatial AdapterPre-trained backbone=SuPreM2026.03 | 81.61 | 56.24 | 77.69 | 79.54 | 84.66 | 75.95 | |
| Affine-LNPre-trained backbone=SuPreM2026.03 | 80.84 | 55.8 | 76.98 | 75.66 | 92.5 | 76.35 | |
| AdaptformerPre-trained backbone=SuPreM2026.03 | 77.78 | 54.1 | 76.05 | 77.58 | 93.25 | 75.75 | |
| LoRAPre-trained backbone=SuPreM2026.03 | 59.25 | 55.33 | 77.72 | 73.89 | 80.59 | 69.35 |