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ResearchFormerly WizWand

Facial Forgery Detection on AM LatTrans (test)

59.98AccuracyMFVLR
49.600852.295454.9957.6846May 11, 2026
Updated 5mo ago

Evaluation results

MethodLinks
MFVLRTraining Set=Diffae2026.0559.9882.31
MFCLIPTraining Set=Diffae2026.0559.9679.76
ViTTraining Set=Diffae2026.0555.3576.1
HiFi-NetTraining Set=Diffae2026.0551.4275.07
DD-VQATraining Set=Diffae2026.0551.3669.04
VLFFDTraining Set=Diffae2026.0551.0260.74
MSCCNetTraining Set=Diffae2026.0550.5676.88
DADFTraining Set=Diffae2026.0550.3774.24
FatFormerTraining Set=Diffae2026.0550.3459.67
FreqNetTraining Set=Diffae2026.0550.2151.06
XceptionTraining Set=Diffae2026.055068.76
CViTTraining Set=Diffae2026.055052.03
M2TRTraining Set=Diffae2026.055071.28
DIRETraining Set=Diffae2026.055041.69
CLIPTraining Set=Diffae2026.055058.83