Detection accuracy for DeepFor and VFHQ datasets for our method and the compared methods.
| No. train videos (c) | DeepFor | VFHQ | ||||||
|---|---|---|---|---|---|---|---|---|
| F -SVM | Xcept | DeFakeHop | ResNetLSTM | F-SVM | Xcept | DeFakeHop | ResNetLSTM | |
| 2 | 67.5 | 50.0 | 61.3 | 65.9 | 61.7 | 50.0 | 60.6 | 58.4 |
| 4 | 74.8 | 50.0 | 62.8 | 70.6 | 75.5 | 50.0 | 63.8 | 77.5 |
| 8 | 91.4 | 50.0 | 62.0 | 85.9 | 84.8 | 50.0 | 69.9 | 93.3 |
| 16 | 95.5 | 53.0 | 72.8 | 91.7 | 90.1 | 73.6 | 72.6 | 90.8 |
| 32 | 96.5 | 56.0 | 79.8 | 97.1 | 92.3 | 91.0 | 77.8 | 88.6 |
| 64 | 96.8 | 83.0 | 85.6 | 99.0 | 93.5 | 94.9 | 80.9 | 88.3 |
| 128 | 96.8 | 92.3 | 88.5 | 98.0 | 94.4 | 95.5 | 79.8 | 93.2 |
| 256 | 97.0 | 98.5 | 89.7 | 99.9 | 96.2 | 94.4 | 82.7 | 94.3 |
| No. train videos (c) | DeepFor | VFHQ | ||||||
|---|---|---|---|---|---|---|---|---|
| Xcept | DeFakeHop | ResNetLSTM | Xcept | DeFakeHop | ResNetLSTM | |||
| 2 | 67.5 | 50.0 | 61.3 | 65.9 | 61.7 | 50.0 | 60.6 | 58.4 |
| 4 | 74.8 | 50.0 | 62.8 | 70.6 | 75.5 | 50.0 | 63.8 | 77.5 |
| 8 | 50.0 | 62.0 | 85.9 | 84.8 | 50.0 | 69.9 | ||
| 16 | 53.0 | 72.8 | 73.6 | 72.6 | ||||
| 32 | 56.0 | 79.8 | 77.8 | 88.6 | ||||
| 64 | 83.0 | 85.6 | 80.9 | 88.3 | ||||
| 128 | 88.5 | 79.8 | ||||||
| 256 | 89.7 | 82.7 |