Image Classification on CIFAR-100 3-shot (test)
76.24AccuracySA
Evaluation Results
| Method | Links | |
|---|---|---|
| SABackbone=ViT-Large, Shot-count=3-shot2025.03 | 76.24 | |
| Linear ProbingBackbone=ViT-Large, Shot-count=3-shot2025.03 | 74.05 | |
| Split LearningBackbone=ViT-Large, Shot-count=3-shot2025.03 | 74.05 | |
| Linear ProbingBackbone=Swin-L, Shot-Count=3-shot2025.03 | 71.28 | |
| SABackbone=Swin-L, Shot-Count=3-shot2025.03 | 70.22 | |
| Offsite TuningBackbone=Swin-L, Shot-Count=3-shot2025.03 | 62.23 | |
| Fine TuningBackbone=Swin-L, Shot-Count=3-shot2025.03 | 61.23 | |
| Split LearningBackbone=Swin-L, Shot-Count=3-shot2025.03 | 51.51 | |
| Offsite TuningBackbone=ViT-Large, Shot-count=3-shot2025.03 | 42.37 | |
| Fine TuningBackbone=ViT-Large, Shot-count=3-shot2025.03 | 40.32 | |
| LN-TUNEBackbone=Swin-L, Shot-Count=3-shot2025.03 | 28.98 | |
| LN-TUNEBackbone=ViT-Large, Shot-count=3-shot2025.03 | 13.18 |