Medical Image Segmentation on MOMO
89.2DSCAdaptformer + SAM-COBOT
Evaluation results
| Method | Links | |
|---|---|---|
| Adaptformer + SAM-COBOTTrainable Parameters (K)=324.0, Backbone=ViT-Base2023.11 | 89.2 | |
| AdaptformerTrainable Parameters (K)=322.7, Backbone=ViT-Base2023.11 | 87.6 | |
| LoRA + SAM-COBOTTrainable Parameters (K)=148.3, Backbone=ViT-Base2023.11 | 86.7 | |
| LoRATrainable Parameters (K)=147.4, Backbone=ViT-Base2023.11 | 86.6 | |
| LightweightTrainable Parameters (K)=0, Backbone=ViT-Base2023.11 | 86.3 | |
| FreezeTrainable Parameters (K)=0, Backbone=ViT-Base2023.11 | 24.3 |