Image Classification on Tiny-ImageNet (Top-1 Accuracy Variants)
73.23Top-1 Accuracy (Best Pred)CFF+M
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CFF+MModel=ViT2026.05 | 73.23 | — | |
| BP (repr.)Model=VGG-162026.05 | 54.17 | — | |
| BiCovG-HGB (4×4, m = 4)Model=VGG-16, Configuration=4×4, m=42026.05 | 52.42 | 54.48 | |
| BiCovG-HGB (2×8, m = 2)Model=VGG-16, Configuration=2×8, m=22026.05 | 48.89 | 50.2 | |
| BiCovG + FALModel=VGG-162026.05 | 48.41 | 50.3 | |
| BiCovG (no FAL)Model=VGG-162026.05 | 48.2 | 50.38 | |
| SCFFModel=AlexNet-style CNN52026.05 | 35.67 | — | |
| ASGE (repr.)Model=VGG-162026.05 | 33.17 | — | |
| NoPropModel=NoProp-DT2026.05 | 25.65 | — |