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ResearchFormerly WizWand

Facial Forgery Detection on AM Diffae (test)

67.04AccuracyMFVLR
49.037653.711358.38563.0587May 11, 2026
Updated 5mo ago

Evaluation results

MethodLinks
MFVLRTraining Set=LatTrans2026.0567.0484.69
MSCCNetTraining Set=LatTrans2026.0554.779.03
HiFi-NetTraining Set=LatTrans2026.0553.878.54
MFCLIPTraining Set=LatTrans2026.055375
DADFTraining Set=LatTrans2026.0552.977.53
DD-VQATraining Set=LatTrans2026.0552.6565
XceptionTraining Set=LatTrans2026.0551.3163.14
CViTTraining Set=LatTrans2026.0550.7662.08
M2TRTraining Set=LatTrans2026.0550.4276.96
VLFFDTraining Set=LatTrans2026.0550.0763.76
FatFormerTraining Set=LatTrans2026.0550.0550.21
DIRETraining Set=LatTrans2026.0550.0252.35
CLIPTraining Set=LatTrans2026.0550.0247.69
FreqNetTraining Set=LatTrans2026.0549.8849.16
ViTTraining Set=LatTrans2026.0549.7349.03