Forgery detection on Celeb-DF v2
0.7651AUCLFWL
Evaluation Results
| Method | Links | |
|---|---|---|
| LFWLMethod Category=Method 2: Fusion, Training Dataset=DFDCP2026.05 | 0.7651 | |
| LFWSMethod Category=Method 2: Fusion, Training Dataset=FF++ (c23)2026.05 | 0.7548 | |
| LFWSMethod Category=Method 2: Fusion, Training Dataset=DFDCP2026.05 | 0.7539 | |
| SRMMethod Category=Frequency-based, Training Dataset=FF++ (c23)2026.05 | 0.7345 | |
| LFWLMethod Category=Method 2: Fusion, Training Dataset=FF++ (c23)2026.05 | 0.7324 | |
| WDFMethod Category=Method 1, Training Dataset=DFDCP2026.05 | 0.7297 | |
| LBPMethod Category=Method 1, Training Dataset=FF++ (c23)2026.05 | 0.7216 | |
| SRMMethod Category=Frequency-based, Training Dataset=DFDCP2026.05 | 0.7188 | |
| LBPMethod Category=Method 1, Training Dataset=DFDCP2026.05 | 0.718 | |
| WDFMethod Category=Method 1, Training Dataset=FF++ (c23)2026.05 | 0.7108 | |
| F3NetMethod Category=Frequency-based, Training Dataset=FF++ (c23)2026.05 | 0.7083 | |
| SPSLMethod Category=Frequency-based, Training Dataset=FF++ (c23)2026.05 | 0.6999 | |
| EffB4Method Category=Baseline CNNs, Training Dataset=DFDCP2026.05 | 0.6956 | |
| RNet34Method Category=Baseline CNNs, Training Dataset=DFDCP2026.05 | 0.6928 | |
| XceptionMethod Category=Baseline CNNs, Training Dataset=FF++ (c23)2026.05 | 0.6875 | |
| XceptMethod Category=Baseline CNNs, Training Dataset=DFDCP2026.05 | 0.6873 | |
| F3NetMethod Category=Frequency-based, Training Dataset=DFDCP2026.05 | 0.6812 | |
| SPSLMethod Category=Frequency-based, Training Dataset=DFDCP2026.05 | 0.6797 | |
| Meso4Method Category=Baseline CNNs, Training Dataset=DFDCP2026.05 | 0.6737 | |
| ResNet-34Method Category=Baseline CNNs, Training Dataset=FF++ (c23)2026.05 | 0.6712 | |
| EfficientNet-B4Method Category=Baseline CNNs, Training Dataset=FF++ (c23)2026.05 | 0.6684 | |
| MesoNet-4Method Category=Baseline CNNs, Training Dataset=FF++ (c23)2026.05 | 0.608 |