Deepfake Detection on CDF v3 (AUROC)
89.9AUROCGenD-PE
Evaluation Results
| Method | Links | |
|---|---|---|
| GenD-PETraining Data=FF++, Evaluation Protocol=Video-level2026.05 | 89.9 | |
| FS-VFMTraining Data=FF++, Evaluation Protocol=Video-level2026.05 | 85.1 | |
| FSFMTraining Data=FF++, Evaluation Protocol=Video-level2026.05 | 79.6 | |
| BlenDTraining Data=25k ScaleDF (real) + SBI fakes, Evaluation Protocol=Video-level2026.05 | 79.4 | |
| EffortTraining Data=FF++, Evaluation Protocol=Video-level2026.05 | 78.7 | |
| ForAdaTraining Data=FF++, Evaluation Protocol=Video-level2026.05 | 75.6 | |
| FSBITraining Data=FF++ with pseudo-fakes, Evaluation Protocol=Video-level2026.05 | 61.1 | |
| SBITraining Data=FF++ with pseudo-fakes, Evaluation Protocol=Video-level2026.05 | 59.9 |