Image Classification on ImageNet-1K 2009 (test)
71.59AccuracyBP
Evaluation results
| Method | Links | |
|---|---|---|
| BPBackbone=VGG16, Training Protocol=From Scratch2026.04 | 71.59 | |
| HFFBackbone=VGG16, Training Protocol=Transfer2026.04 | 65.96 | |
| BPBackbone=VGG16, Training Protocol=Transfer2026.04 | 65.8 | |
| DFABackbone=VGG16, Training Protocol=Transfer2026.04 | 65.3 | |
| SSDFABackbone=VGG16, Training Protocol=Transfer2026.04 | 64.5 | |
| BPBackbone=AlexNet, Training Protocol=From Scratch2026.04 | 56.52 | |
| BPBackbone=AlexNet, Training Protocol=Transfer2026.04 | 49 | |
| DFABackbone=AlexNet, Training Protocol=Transfer2026.04 | 48.8 | |
| HFFBackbone=AlexNet, Training Protocol=Transfer2026.04 | 46.99 | |
| SSDFABackbone=AlexNet, Training Protocol=Transfer2026.04 | 46.3 | |
| HFFBackbone=VGG16, Training Protocol=From Scratch2026.04 | 25.7 | |
| HFFBackbone=AlexNet, Training Protocol=From Scratch2026.04 | 22.21 | |
| DFABackbone=AlexNet, Training Protocol=From Scratch2026.04 | 6.2 | |
| SSDFABackbone=AlexNet, Training Protocol=From Scratch2026.04 | 2.8 |