Image Classification on CIFAR-10 (Generalization Error Approximation G(W))
0.142G(W) Generalization ErrorFFT
Evaluation Results
| Method | Links | |
|---|---|---|
| FFTModel (Backbone)=ViT-Tiny [9], Method category=The Past2026.06 | 0.142 | |
| LoRA+Model (Backbone)=ViT-Base [9], Method category=The Present2026.06 | 0.184 | |
| LoRAModel (Backbone)=ViT-Base [9], Method category=The Past2026.06 | 0.192 | |
| r-c3LAModel (Backbone)=ViT-Base [9], Method category=The Future2026.06 | 0.215 | |
| CoLAModel (Backbone)=ViT-Base [9], Method category=The Present2026.06 | 0.221 | |
| r-cLAModel (Backbone)=ViT-Base [9], Method category=The Future2026.06 | 0.226 | |
| RACModel (Backbone)=ViT-Base [9], Method category=The Present2026.06 | 0.23 | |
| cLAModel (Backbone)=ViT-Base [9], Method category=The Future2026.06 | 0.233 | |
| c3LAModel (Backbone)=ViT-Base [9], Method category=The Future2026.06 | 0.234 | |
| AsymmModel (Backbone)=ViT-Base [9], Method category=The Present2026.06 | 0.238 | |
| LoRAModel (Backbone)=ViT-Tiny [9], Method category=The Past2026.06 | 0.264 | |
| LoRA+Model (Backbone)=ViT-Tiny [9], Method category=The Present2026.06 | 0.28 | |
| CoLAModel (Backbone)=ViT-Tiny [9], Method category=The Present2026.06 | 0.287 | |
| r-c3LAModel (Backbone)=ViT-Tiny [9], Method category=The Future2026.06 | 0.292 | |
| c3LAModel (Backbone)=ViT-Tiny [9], Method category=The Future2026.06 | 0.303 | |
| r-cLAModel (Backbone)=ViT-Tiny [9], Method category=The Future2026.06 | 0.312 | |
| cLAModel (Backbone)=ViT-Tiny [9], Method category=The Future2026.06 | 0.313 | |
| RACModel (Backbone)=ViT-Tiny [9], Method category=The Present2026.06 | 0.318 | |
| AsymmModel (Backbone)=ViT-Tiny [9], Method category=The Present2026.06 | 0.336 | |
| FFTModel (Backbone)=ViT-Base [9], Method category=The Past2026.06 | 0.998 |