Face Forgery Detection on FaceForensics++ NT (test)
98.99AUCVLFFD
Evaluation Results
| Method | Links | |
|---|---|---|
| VLFFDTrain Set=NeuralTextures (NT)2023.07 | 98.99 | |
| LAKANTraining=FF++ real face videos2025.10 | 98.99 | |
| DCLTrain Set=NeuralTextures (NT)2023.07 | 98.97 | |
| SBITraining=FF++ real face videos2025.10 | 98.79 | |
| GFFTrain Set=NeuralTextures (NT)2023.07 | 98.77 | |
| MATTrain Set=NeuralTextures (NT)2023.07 | 98.66 | |
| AUNetTraining=FF++ real face videos2025.10 | 98.38 | |
| RAETraining=FF++ real face videos2025.10 | 97.6 | |
| SeeABLETraining=FF++ real face videos2025.10 | 96.9 | |
| SOLATrain Set=CD2, Supervision=weakly supervised2022.09 | 85.64 | |
| XceptionTrain Set=DFD2022.09 | 84.91 | |
| SOLATrain Set=DFD, Supervision=weakly supervised2022.09 | 84.01 | |
| VLFFDTrain Set=DeepFakes (DF)2023.07 | 76.79 | |
| DCLTrain Set=DeepFakes (DF)2023.07 | 75.01 | |
| XceptionTrain Set=CD22022.09 | 72.89 | |
| GFFTrain Set=DeepFakes (DF)2023.07 | 72.88 | |
| MATTrain Set=DeepFakes (DF)2023.07 | 71.08 | |
| VLFFDTrain Set=Face2Face (F2F)2023.07 | 66.69 | |
| DCLTrain Set=Face2Face (F2F)2023.07 | 66.67 | |
| GFFTrain Set=Face2Face (F2F)2023.07 | 64.77 | |
| MATTrain Set=Face2Face (F2F)2023.07 | 64.59 | |
| VLFFDTrain Set=FaceSwap (FS)2023.07 | 53.53 | |
| DCLTrain Set=FaceSwap (FS)2023.07 | 52.6 | |
| MATTrain Set=FaceSwap (FS)2023.07 | 50.1 | |
| GFFTrain Set=FaceSwap (FS)2023.07 | 49.91 |