Face Forgery Detection on FF++ to {Celeb-DF-v2, DFDC, FaceShifter, DeeperForensics} HQ (test)
86.9AUC (Celeb-DF-v2)FTCN
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FTCNTraining Dataset=FF++, Pre-training=N, Extra data usage=N, Number of parameters=26.6M2021.08 | 86.9 | 74 | 98.8 | 98.8 | 89.6 | |
| LipForensicsTraining Dataset=FF++2021.08 | 82.4 | 73.5 | 97.1 | 97.6 | 87.7 | |
| Face X-rayTraining Dataset=FF++2021.08 | 79.5 | 65.5 | 92.8 | 86.8 | 81.2 | |
| Two-branchTraining Dataset=FF++2021.08 | 76.7 | — | — | — | — | |
| Multi-taskTraining Dataset=FF++2021.08 | 75.7 | 68.1 | 66 | 77.7 | 71.9 | |
| CNN-augTraining Dataset=FF++2021.08 | 75.6 | 72.1 | 65.7 | 74.4 | 72 | |
| XceptionTraining Dataset=FF++2021.08 | 73.7 | 70.9 | 72 | 84.5 | 75.3 | |
| CNN-GRUTraining Dataset=FF++2021.08 | 69.8 | 68.9 | 80.8 | 74.1 | 73.4 | |
| PatchForensicsTraining Dataset=FF++2021.08 | 69.6 | 65.6 | 57.8 | 81.8 | 68.7 | |
| FWATraining Dataset=FF++2021.08 | 69.5 | 67.3 | 65.5 | 50.2 | 63.1 |