Image Classification on OxfordPets (val)
94.41AccuracyLoRA
Evaluation Results
| Method | Links | |
|---|---|---|
| LoRAModel=ViT Large, Params (%)=0.532025.10 | 94.41 | |
| PiSSAModel=ViT Large, Params (%)=0.532025.10 | 94.33 | |
| DoRAModel=ViT Large, Params (%)=0.552025.10 | 94.3 | |
| StelLAModel=ViT Large, Params (%)=0.542025.10 | 94.14 | |
| StelLAModel=ViT Base, Params (%)=0.732025.10 | 93.54 | |
| DoRAModel=ViT Base, Params (%)=0.752025.10 | 93.4 | |
| PiSSAModel=ViT Base, Params (%)=0.722025.10 | 93.21 | |
| LoRAModel=ViT Base, Params (%)=0.722025.10 | 92.94 |