Table 4. Cross-dataset evaluation on Celeb-DF, DFDC, DFDCP and DFD dataset.
| Method | Training | Test (AUC %) | |||
|---|---|---|---|---|---|
| Celeb-DF | DFDC | DFDCP | DFD | ||
| Xception (Chollet, 2017) | FF++ | 65.36 | 67.9 | 72.2 | 70.5 |
| Two-branch (Masi et al., 2020) | 73.41 | – | – | – | |
| Face X-ray (Li et al., 2020a) | 74.2 | 70.0 | 70.0 | 85.6 | |
| F3 Net (Qian et al., 2020) | 72.51 | 69.67 | – | 86.1 | |
| Multi-attention (Zhao et al., 2021a) | 76.54 | 67.36 | 66.28 | 75.53 | |
| RECCE (Cao et al., 2022) | 76.71 | 69.06 | – | – | |
| GocNet (Guo et al., 2023c) | 67.4 | – | – | – | |
| LDFnet (Guo et al., 2023b) | 65.7 | – | – | – | |
| Our | 75.73 | 70.48 | 73.41 | 89.26 | |
Note:
Bold values refer to the best values.