Few-Shot Class-Incremental Learning on CIFAR100 5-way 5-shot (test)
0.934Accuracy (Session 0)CASP
Evaluation Results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| CASPBackbone=ViT-B/16-1K, Protocol=5-way 5-shot2026.01 | 0.934 | 0.918 | 0.91 | 0.897 | 0.898 | 0.895 | 0.895 | 0.893 | 0.881 | 0.902 | |
| TEENBackbone=ViT-B/16-1K, Protocol=5-way 5-shot2026.01 | 0.929 | 0.902 | 0.884 | 0.868 | 0.864 | 0.86 | 0.858 | 0.851 | 0.84 | 0.873 | |
| ASPBackbone=ViT-B/16-1K, Protocol=5-way 5-shot2026.01 | 0.922 | 0.907 | 0.9 | 0.887 | 0.887 | 0.882 | 0.882 | 0.878 | 0.867 | 0.89 | |
| SECBackbone=ViT-B/16-1K, Protocol=5-way 5-shot2026.01 | 0.92 | 0.908 | 0.906 | 0.891 | 0.892 | 0.891 | 0.892 | 0.887 | 0.875 | 0.895 | |
| PriViLegeBackbone=ViT-B/16-1K, Protocol=5-way 5-shot2026.01 | 0.909 | 0.894 | 0.89 | 0.876 | 0.879 | 0.874 | 0.876 | 0.872 | 0.861 | 0.881 | |
| DualPBackbone=ViT-B/16-1K, Protocol=5-way 5-shot2026.01 | 0.86 | 0.836 | 0.829 | 0.802 | 0.806 | 0.802 | 0.805 | 0.79 | 0.774 | 0.811 | |
| Coda-PBackbone=ViT-B/16-1K, Protocol=5-way 5-shot2026.01 | 0.86 | 0.836 | 0.816 | 0.792 | 0.791 | 0.785 | 0.783 | 0.77 | 0.754 | 0.798 | |
| L2PBackbone=ViT-B/16-1K, Protocol=5-way 5-shot2026.01 | 0.847 | 0.823 | 0.801 | 0.775 | 0.77 | 0.76 | 0.756 | 0.741 | 0.723 | 0.777 |