Face Forgery Detection on DFDCP (test)
89.77AUCSGF-CDNet
Evaluation results
| Method | Links | |
|---|---|---|
| SGF-CDNetVenue=ICMEW 2026, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 89.77 | |
| WMambaVenue=ACM MM 2025, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 89.62 | |
| RAEVenue=ECCV 2024, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 89.5 | |
| UDDVenue=AAAI 2025, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 88.1 | |
| FreqBlenderVenue=NeurIPS 2024, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 87.56 | |
| LAA-NetVenue=CVPR 2024, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 86.94 | |
| SeeABLEVenue=ICCV 2023, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 86.3 | |
| AUNetVenue=CVPR 2023, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 86.16 | |
| SBIVenue=CVPR 2022, Input Type=Frame, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 86.15 | |
| TALL++Venue=IJCV 2024, Input Type=Video, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 78.51 | |
| NACOVenue=ECCV 2024, Input Type=Video, Training Set (Real)=Yes, Training Set (Fake)=Yes2026.07 | 76.7 |