Image Segmentation on ADOME
91.3mIoUAdaptformer + SAM-COBOT
Evaluation Results
| Method | Links | |
|---|---|---|
| Adaptformer + SAM-COBOTTrainable Parameters (K)=324.0, Backbone=ViT-Base2023.11 | 91.3 | |
| AdaptformerTrainable Parameters (K)=322.7, Backbone=ViT-Base2023.11 | 90.1 | |
| LoRA + SAM-COBOTTrainable Parameters (K)=148.3, Backbone=ViT-Base2023.11 | 88.7 | |
| LoRATrainable Parameters (K)=147.4, Backbone=ViT-Base2023.11 | 88 | |
| LightweightTrainable Parameters (K)=0, Backbone=ViT-Base2023.11 | 86 | |
| FreezeTrainable Parameters (K)=0, Backbone=ViT-Base2023.11 | 23.5 |