Frame-level Face Forgery Detection on Wild Deepfake
83.55AUCVLFFD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| VLFFDBackbone=ViT-L2023.07 | 83.55 | 24.4 | |
| DiffusionFake (ViT-B)Backbone=ViT-B, Training Dataset=FF++(HQ)2024.10 | 80.14 | 29.62 | |
| ViT-BBackbone=ViT-B, Training Dataset=FF++(HQ), Reproduced Status=true2024.10 | 75.46 | 31.53 | |
| DiffusionFake (En-b4)Backbone=EfficientNet-B4, Training Dataset=FF++(HQ)2024.10 | 75.17 | 33.25 | |
| CADDMTraining Dataset=FF++(HQ), Reproduced Status=true2024.10 | 72.56 | 33.63 | |
| DCL2023.07 | 71.14 | 36.17 | |
| DCLTraining Dataset=FF++(HQ), Reproduced Status=false2024.10 | 71.14 | 36.17 | |
| MAT2023.07 | 70.15 | 36.53 | |
| MATTraining Dataset=FF++(HQ), Reproduced Status=true2024.10 | 70.15 | 36.53 | |
| EfficientNet-B4 (En-b4)Backbone=EfficientNet-B4, Training Dataset=FF++(HQ), Reproduced Status=true2024.10 | 70.04 | 37.03 | |
| LRL2023.07 | 68.76 | 37.5 | |
| LRLTraining Dataset=FF++(HQ), Reproduced Status=false2024.10 | 68.76 | 37.5 | |
| SBI2023.07 | 68.22 | 38.11 | |
| SBITraining Dataset=FF++(HQ), Reproduced Status=true2024.10 | 68.22 | 38.11 | |
| RECCETraining Dataset=FF++(HQ), Reproduced Status=true2024.10 | 67.93 | 39.82 | |
| F3-Net2023.07 | 67.71 | 40.17 | |
| F3-NetTraining Dataset=FF++(HQ), Reproduced Status=true2024.10 | 67.71 | 40.17 | |
| LTW2023.07 | 67.12 | 39.22 | |
| LTWTraining Dataset=FF++(HQ), Reproduced Status=false2024.10 | 67.12 | 39.22 | |
| GFF2023.07 | 66.51 | 41.52 | |
| GFFTraining Dataset=FF++(HQ), Reproduced Status=true2024.10 | 66.51 | 41.52 | |
| Xception2023.07 | 66.17 | 40.14 | |
| XceptionBackbone=Xception, Training Dataset=FF++(HQ), Reproduced Status=false2024.10 | 66.17 | 40.14 | |
| EN-b4Backbone=EfficientNet-b42023.07 | 61.04 | 45.34 |