Face Forgery Detection on FaceForensics++ HQ c23 (test)
92.39AccuracyXception
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Xception2021.03 | 92.39 | 94.86 | |
| Ours (Xception)Backbone=Xception2021.03 | 91.5 | 95.32 | |
| MesoNet2021.03 | 83.1 | — | |
| Bayer & Stamm2021.03 | 82.97 | — | |
| Rahmouni et al.2021.03 | 79.08 | — | |
| Cozzolino et al.2021.03 | 78.45 | — | |
| Steg. Features2021.03 | 70.97 | — | |
| Face X-ray2021.03 | — | 87.35 |