Image Classification on ImageNet 1.28M, 224x224, 1000 (test)
34.73Top-1 AccuracyVGG10 + EP + random scheme
Evaluation results
| Method | Links | ||
|---|---|---|---|
| VGG10 + EP + random schemeBackbone=VGG10, Algorithm=EP, Scheme=random2026.06 | 34.73 | 14.02 | |
| VGG10 + EP + centered schemeBackbone=VGG10, Algorithm=EP, Scheme=centered2026.06 | 33.81 | 13.23 | |
| VGG10 + BP (baseline)Backbone=VGG10, Algorithm=BP, Scheme=baseline2026.06 | 32.35 | 12.2 |