Image Classification on Average (Flowers102, OxfordPets, VOC2007) (test)
94.0413Top-1 AccuracyMONA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MONAPre-trained Model=Swin-L2024.08 | 94.0413 | 99.7592 | |
| ADAPTERPre-trained Model=Swin-L2024.08 | 93.9894 | 99.6144 | |
| LORANDPre-trained Model=Swin-L2024.08 | 93.8591 | 99.7062 | |
| ADAPTFORMERPre-trained Model=Swin-L2024.08 | 93.7023 | 99.6544 | |
| BITFITPre-trained Model=Swin-L2024.08 | 93.5061 | 99.691 | |
| LORAPre-trained Model=Swin-L2024.08 | 93.4653 | 99.686 | |
| NORMTUNINGPre-trained Model=Swin-L2024.08 | 93.4266 | 99.6604 | |
| PARTIAL-1Pre-trained Model=Swin-L2024.08 | 93.3292 | 99.4359 | |
| FIXEDPre-trained Model=Swin-L2024.08 | 92.8463 | 99.5685 | |
| FULLPre-trained Model=Swin-L2024.08 | 92.7876 | 98.81 |