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ResearchFormerly WizWand

Face Forgery Detection on FaceForensics++ FS (test)

0.999AUCDCL
0.3823840.5424670.702550.862633Sep 30, 2022Nov 19, 2022Jan 9, 2023Mar 1, 2023Apr 20, 2023Jun 10, 2023Jul 31, 2023
Updated 8mo ago

Evaluation results

MethodLinks
DCLTrain Set=FaceSwap (FS)2023.070.999
GFFTrain Set=FaceSwap (FS)2023.070.9985
MATTrain Set=FaceSwap (FS)2023.070.9967
VLFFDTrain Set=FaceSwap (FS)2023.070.9957
SOLATrain Set=CD2, Supervision=weakly supervised2022.090.8678
VLFFDTrain Set=NeuralTextures (NT)2023.070.8562
DCLTrain Set=NeuralTextures (NT)2023.070.7931
MATTrain Set=NeuralTextures (NT)2023.070.7533
VLFFDTrain Set=DeepFakes (DF)2023.070.744
GFFTrain Set=NeuralTextures (NT)2023.070.7431
VLFFDTrain Set=Face2Face (F2F)2023.070.6519
GFFTrain Set=Face2Face (F2F)2023.070.613
DCLTrain Set=DeepFakes (DF)2023.070.6101
SOLATrain Set=DFD, Supervision=weakly supervised2022.090.6081
MATTrain Set=Face2Face (F2F)2023.070.6014
DCLTrain Set=Face2Face (F2F)2023.070.5958
XceptionTrain Set=CD22022.090.5419
GFFTrain Set=DeepFakes (DF)2023.070.4721
XceptionTrain Set=DFD2022.090.4713
MATTrain Set=DeepFakes (DF)2023.070.4061