Synthetic Image Detection on CIFAKE
98.32AccuracyCNN-ViT Hybrid
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CNN-ViT Hybrid2025.12 | 98.32 | 0.9977 | |
| DenseNet-1212025.12 | 97.74 | 0.9975 | |
| SE-ResNet-502025.12 | 96.12 | 0.9862 | |
| VGGNet-162025.12 | 96 | 0.98 | |
| ResNet-50Model Variant=baseline2025.12 | 93.46 | 0.962 | |
| Fine-tuned ViTModel Variant=Fine-tuned2025.12 | 92 | — |