Face Forgery Detection on DeepFake Detection Challenge Preview
0.8971AUCLAKAN
Evaluation Results
| Method | Links | |
|---|---|---|
| LAKANInput Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 0.8971 | |
| RAEVenue=ECCV 2024, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 0.895 | |
| UDDVenue=AAAI 2025, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=true2025.10 | 0.881 | |
| FreqBlenderVenue=NeurIPS 2024, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 0.8756 | |
| LAA-NetVenue=CVPR 2024, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 0.8694 | |
| SeeABLEVenue=ICCV 2023, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 0.863 | |
| AUNetVenue=CVPR 2023, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 0.8616 | |
| SBIVenue=CVPR 2022, Input Type=Frame, Training Set (Real)=true, Training Set (Fake)=false2025.10 | 0.8615 | |
| TALL++Venue=IJCV 2024, Input Type=Video, Training Set (Real)=true, Training Set (Fake)=true2025.10 | 0.7851 | |
| NACOVenue=ECCV 2024, Input Type=Video, Training Set (Real)=true, Training Set (Fake)=true2025.10 | 0.767 |