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ResearchFormerly WizWand

Deepfake Detection on FaceSwapper (test)

77.31AccuracyMFVLR
48.096455.680763.26570.8493May 11, 2026
Updated 5mo ago

Evaluation results

MethodLinks
MFVLRTraining Set=DiffFace2026.0577.3199.95
MFCLIPTraining Set=DiffFace2026.0576.5299.93
DD-VQATraining Set=DiffFace2026.0573.7495.99
VLFFDTraining Set=DiffFace2026.0572.9794.03
FatFormerTraining Set=DiffFace2026.0571.8793.76
CLIPTraining Set=DiffFace2026.0570.5492.62
ViTTraining Set=DiffFace2026.0565.5886.02
MFVLRTraining Set=FSLSD2026.0560.7396.2
MSCCNetTraining Set=DiffFace2026.0558.198.46
MFCLIPTraining Set=FSLSD2026.0555.5292.15
HiFi-NetTraining Set=DiffFace2026.0554.7997.16
FatFormerTraining Set=FSLSD2026.0554.7173.09
DD-VQATraining Set=FSLSD2026.0554.686.51
VLFFDTraining Set=FSLSD2026.0553.8284.66
MSCCNetTraining Set=FSLSD2026.0552.7996.82
DADFTraining Set=DiffFace2026.0552.4996.03
CLIPTraining Set=FSLSD2026.0552.3772.9
DADFTraining Set=FSLSD2026.0552.0695.31
HiFi-NetTraining Set=FSLSD2026.0551.7796.7
M2TRTraining Set=DiffFace2026.0551.4995.48
XceptionTraining Set=FSLSD2026.0551.4972.14
M2TRTraining Set=FSLSD2026.0551.4995.48
CViTTraining Set=FSLSD2026.0550.4684.44
ViTTraining Set=FSLSD2026.0550.2164.98
DIRETraining Set=FSLSD2026.0550.1457.44
CViTTraining Set=DiffFace2026.0550.0479.17
XceptionTraining Set=DiffFace2026.055083.6
DIRETraining Set=DiffFace2026.055088.01
FreqNetTraining Set=DiffFace2026.0549.6569.93
FreqNetTraining Set=FSLSD2026.0549.2272.31