3D Medical Segmentation on TotalSegmentator binary 5-shot
86.67Gall ScoreSEA-PEFT
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SEA-PEFTPre-trained backbone=SuPreM2026.03 | 86.67 | 57.32 | 78.87 | 75.86 | 90.74 | 77.89 | |
| Spatial AdapterPre-trained backbone=SuPreM2026.03 | 85.08 | 55.56 | 78.84 | 78.17 | 87.4 | 77.01 | |
| Affine-LNPre-trained backbone=SuPreM2026.03 | 76.1 | 50.04 | 75.46 | 71.91 | 90.91 | 72.88 | |
| AdaptformerPre-trained backbone=SuPreM2026.03 | 60.17 | 51.79 | 76.73 | 74.49 | 93.12 | 71.26 | |
| LoRAPre-trained backbone=SuPreM2026.03 | 52.5 | 46.43 | 66.86 | 54.15 | 73.33 | 58.65 |