FakeAVCeleb
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Deepfake Detection | FakeAVCeleb (test) | Accuracy99.8 | 54 | |
| Audio-visual video forgery detection | FakeAVCeleb | Accuracy99.29 | 41 | |
| Manipulation detection | FakeAVCeleb (AVG-FV) | AP98.5 | 17 | |
| Manipulation detection | FakeAVCeleb FVFA-WL | AP (%)100 | 17 | |
| Manipulation detection | FakeAVCeleb FVFA-GAN | AP99.9 | 17 | |
| Manipulation detection | FakeAVCeleb (FVFA-FS) | AP100 | 17 | |
| Manipulation detection | FakeAVCeleb FVRA-WL | AP97.8 | 17 | |
| Deepfake Detection | FakeAVCeleb Intra-dataset | Accuracy99.2 | 12 | |
| Audio-Visual Deepfake Detection | FakeAVCeleb | Accuracy98.75 | 11 | |
| Audio-Visual Deepfake Detection | FakeAVCeleb Original (Trim: X) | AUC100 | 10 | |
| Deepfake Detection | FakeAVCeleb-LS | AUC100 | 9 | |
| Face Forgery Detection | FakeAVCeleb (test) | FS Score98.1 | 9 | |
| Manipulation detection | FakeAVCeleb RVFA | AP93.3 | 8 | |
| Video Forgery Detection | FakeAVCeleb LipGAN-manipulated (test) | AP94.3 | 8 | |
| Audio Generation | FakeAVCeleb | FAD171.52 | 5 | |
| Video Generation | FakeAVCeleb | FID26.88 | 5 | |
| Audio-Visual Deepfake Detection | FakeAVCeleb Trimmed | AUC99.2 | 5 | |
| Face forgery detection | FakeAVCeleb (cross-dataset) | AUC99 | 5 | |
| Deepfake Detection | FakeAVCeleb | Frame-level AUC0.7663 | 4 |
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