Frame-level Face Forgery Detection on DFD
0.9479AUCVLFFD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| VLFFDBackbone=ViT-L2023.07 | 0.9479 | 0.1531 | |
| UIA-VIT2023.07 | 0.9468 | — | |
| DCL2023.07 | 0.9166 | 0.1663 | |
| LRL2023.07 | 0.8924 | 0.2032 | |
| LTW2023.07 | 0.8856 | 0.2057 | |
| SBI2023.07 | 0.8813 | 0.1725 | |
| Xception2023.07 | 0.8786 | 0.2104 | |
| MAT2023.07 | 0.8758 | 0.2173 | |
| EN-b4Backbone=EfficientNet-b42023.07 | 0.8737 | 0.2199 | |
| F3-Net2023.07 | 0.861 | 0.2617 | |
| Face X-ray2023.07 | 0.856 | — | |
| GFF2023.07 | 0.8551 | 0.2564 |