Classification on CIFAR-100 (Accuracy, Precision, Recall, F1)
58.34AccuracyVDLF-Net
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| VDLF-Net2026.04 | 58.34 | 58.72 | 58.34 | 58.3 | |
| ResNet-50 Enhanced2026.04 | 56.16 | 56.39 | 56.16 | 55.93 | |
| VGG-162026.04 | 49.09 | 50.05 | 49.09 | 48.98 |
| Method | Links | ||||
|---|---|---|---|---|---|
| VDLF-Net2026.04 | 58.34 | 58.72 | 58.34 | 58.3 | |
| ResNet-50 Enhanced2026.04 | 56.16 | 56.39 | 56.16 | 55.93 | |
| VGG-162026.04 | 49.09 | 50.05 | 49.09 | 48.98 |