Video Forgery Detection on FakeAVCeleb LipGAN-manipulated (test)
94.3APRealForensics
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| RealForensicsModality=V, Learning Paradigm=Supervised (transfer), Training Dataset=FakeAVCeleb2023.01 | 94.3 | 96.5 | |
| Audio-Visual Anomaly DetectionModality=AV, Learning Paradigm=Unsupervised, Training Dataset=LRS2, Feature Set=Continuous time delay distribution2023.01 | 93.3 | 94.1 | |
| AD DFDModality=AV, Learning Paradigm=Supervised (transfer), Training Dataset=FakeAVCeleb2023.01 | 82.7 | 84.8 | |
| LipForensicsModality=V, Learning Paradigm=Supervised (transfer), Training Dataset=FakeAVCeleb2023.01 | 82.2 | 85.2 | |
| FTCNModality=V, Learning Paradigm=Supervised (transfer), Training Dataset=FakeAVCeleb2023.01 | 76.9 | 73.9 | |
| XceptionModality=V, Learning Paradigm=Supervised (transfer), Training Dataset=FakeAVCeleb2023.01 | 67.6 | 65.5 | |
| AVBYOLModality=AV, Learning Paradigm=Unsupervised2023.01 | 65 | 73 | |
| VQ-GANModality=V, Learning Paradigm=Unsupervised2023.01 | 50.7 | 50.4 |