Face Forgery Detection on FFIW (test)
87.23AUCSGF-CDNet
Evaluation results
| Method | Links | |
|---|---|---|
| SGF-CDNetVenue=ICMEW 2026, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 87.23 | |
| WMambaVenue=ACM MM 2025, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 86.59 | |
| FreqBlenderVenue=NeurIPS 2024, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 86.14 | |
| SBIVenue=CVPR 2022, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 84.83 | |
| AUNetVenue=CVPR 2023, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 81.45 |