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ResearchFormerly WizWand

Face Forgery Detection on FaceForensics++ NT (test)

98.99AUCVLFFD
47.946861.198474.4587.7016Sep 30, 2022Mar 31, 2023Sep 30, 2023Mar 31, 2024Sep 30, 2024Apr 1, 2025Oct 1, 2025
Updated 8mo ago

Evaluation results

MethodLinks
VLFFDTrain Set=NeuralTextures (NT)2023.0798.99
LAKANTraining=FF++ real face videos2025.1098.99
DCLTrain Set=NeuralTextures (NT)2023.0798.97
SBITraining=FF++ real face videos2025.1098.79
GFFTrain Set=NeuralTextures (NT)2023.0798.77
MATTrain Set=NeuralTextures (NT)2023.0798.66
AUNetTraining=FF++ real face videos2025.1098.38
RAETraining=FF++ real face videos2025.1097.6
SeeABLETraining=FF++ real face videos2025.1096.9
SOLATrain Set=CD2, Supervision=weakly supervised2022.0985.64
XceptionTrain Set=DFD2022.0984.91
SOLATrain Set=DFD, Supervision=weakly supervised2022.0984.01
VLFFDTrain Set=DeepFakes (DF)2023.0776.79
DCLTrain Set=DeepFakes (DF)2023.0775.01
XceptionTrain Set=CD22022.0972.89
GFFTrain Set=DeepFakes (DF)2023.0772.88
MATTrain Set=DeepFakes (DF)2023.0771.08
VLFFDTrain Set=Face2Face (F2F)2023.0766.69
DCLTrain Set=Face2Face (F2F)2023.0766.67
GFFTrain Set=Face2Face (F2F)2023.0764.77
MATTrain Set=Face2Face (F2F)2023.0764.59
VLFFDTrain Set=FaceSwap (FS)2023.0753.53
DCLTrain Set=FaceSwap (FS)2023.0752.6
MATTrain Set=FaceSwap (FS)2023.0750.1
GFFTrain Set=FaceSwap (FS)2023.0749.91