Image Classification on CIFAR100 10 tasks (test)
95.02FAAHash
Evaluation results
| Method | Links | ||
|---|---|---|---|
| HashBackbone=ViT-B/16, Pre-trained=Sup-21K, Adapter-based=true2026.01 | 95.02 | — | |
| InfLoRABackbone=ViT-B/16, Pre-trained=Sup-21K, Adapter-based=true2026.01 | 88.31 | — | |
| C-ADABackbone=ViT-B/16, Pre-trained=Sup-21K, Adapter-based=true2026.01 | 88.25 | — | |
| EASEBackbone=ViT-B/16, Pre-trained=Sup-21K, Adapter-based=true2026.01 | 87.76 | — | |
| ADAM + AdapterBackbone=ViT-B/16, Pre-trained=Sup-21K, Adapter-based=true2026.01 | 87.29 | — | |
| LAEBackbone=ViT-B/16, Pre-trained=Sup-21K, Adapter-based=true2026.01 | 85.33 | — |