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Deepfake Detection on FF++ HQ (test)

0.9949AUC (Avg)CAST-B5
0.6133240.7123870.811450.910513Jun 26, 2025Jul 26, 2025Aug 26, 2025Sep 25, 2025Oct 26, 2025Nov 25, 2025Dec 26, 2025

Evaluation results

MethodLinks
CAST-B5Year=20252025.060.9949————97.57
D2-FusionYear=20242025.060.9942————97.77
RECCEYear=20222025.060.9932————97.06
DCLYear=20222025.060.993—————
MATYear=20212025.060.9929————97.6
CAST-B0Year=20252025.060.9898————96.89
GFFYear=20212025.060.9895————96.87
F3-NetYear=20202025.060.981————97.52
Face X-rayYear=20202025.060.8735—————
EfficientB4Training Set=DF2025.120.80.9950.7280.7060.771—
XceptionTraining Set=DF2025.120.7940.9940.7230.7030.757—
SRMTraining Set=DF2025.120.7910.9950.7240.6840.762—
GenDFTraining Set=FS2025.120.7620.8270.6560.9990.565—
F3-NetTraining Set=DF2025.120.7610.9760.6370.7340.695—
GenDFTraining Set=F2F2025.120.760.8070.9920.6130.627—
SRMTraining Set=F2F2025.120.750.7110.9850.6220.68—
GenDFTraining Set=DF2025.120.7480.9990.640.6610.69—
UIA-ViTTraining Set=FS2025.120.7480.8850.6340.9950.477—
XceptionTraining Set=F2F2025.120.7430.6740.9840.6330.679—
UIA-ViTTraining Set=F2F2025.120.740.7740.990.6150.582—
EfficientB4Training Set=F2F2025.120.7390.6610.9820.6290.682—
GenDFTraining Set=NT2025.120.7330.7470.6850.5420.957—
UIA-ViTTraining Set=DF2025.120.7110.9940.6360.5790.634—
UIA-ViTTraining Set=NT2025.120.7080.7290.6780.4610.963—
F3-NetTraining Set=F2F2025.120.7010.6010.9620.5830.656—
F3-NetTraining Set=FS2025.120.6810.6430.5820.9750.524—
EfficientB4Training Set=NT2025.120.6790.6490.5840.5250.956—
XceptionTraining Set=NT2025.120.6780.6350.5850.5350.955—
SRMTraining Set=NT2025.120.6780.6490.5780.530.955—
XceptionTraining Set=FS2025.120.6760.5520.6090.9930.551—
SRMTraining Set=FS2025.120.6750.550.6070.9930.55—
EfficientB4Training Set=FS2025.120.6740.5550.5960.9920.553—
F3-NetTraining Set=NT2025.120.6280.580.5620.5230.846—