Semantic Segmentation on DFU (test)
74.01DSC (%)CRIS
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| CRISTraining Strategy=E2E fine-tuning, Trainable Parameters=147M2024.05 | 74.01 | 64.31 | 41.92 | |
| CLIPSeg DATraining Strategy=Adapter fine-tuning, Trainable Parameters=3M2024.05 | 72.14 | 61.42 | 38.79 | |
| CLIPSegTraining Strategy=E2E fine-tuning, Trainable Parameters=150M2024.05 | 72.12 | 61.61 | 38.24 | |
| CLIPSeg SATraining Strategy=Adapter fine-tuning, Trainable Parameters=4.2M2024.05 | 69.47 | 58.27 | 38.75 | |
| SANTraining Strategy=Adapter fine-tuning, Trainable Parameters=8.4M2024.05 | 63.38 | 51.63 | 60.1 |