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Frame-level Deepfake Detection on DiffSwap

86.98AUC (%)DiffusionFake (ViT-B)
73.740877.177980.61584.0521Oct 6, 2024

Evaluation results

MethodLinks
DiffusionFake (ViT-B)Backbone=ViT-B, Training Dataset=FF++(HQ)2024.1086.9821.32
DiffusionFake (En-b4)Backbone=EfficientNet-B4, Training Dataset=FF++(HQ)2024.1082.0225.55
DCLTraining Dataset=FF++(HQ), Reproduced Status=false2024.1080.2127.37
MATTraining Dataset=FF++(HQ), Reproduced Status=true2024.1079.9327.77
ViT-BBackbone=ViT-B, Training Dataset=FF++(HQ), Reproduced Status=true2024.1078.528.14
GFFTraining Dataset=FF++(HQ), Reproduced Status=true2024.1078.3828.15
LTWTraining Dataset=FF++(HQ), Reproduced Status=false2024.1077.9529.01
RECCETraining Dataset=FF++(HQ), Reproduced Status=true2024.1077.5929.38
EfficientNet-B4 (En-b4)Backbone=EfficientNet-B4, Training Dataset=FF++(HQ), Reproduced Status=true2024.1077.3829.44
F3-NetTraining Dataset=FF++(HQ), Reproduced Status=true2024.1076.8930.83
CADDMTraining Dataset=FF++(HQ), Reproduced Status=true2024.1075.5831.01
SBITraining Dataset=FF++(HQ), Reproduced Status=true2024.1075.231.49
XceptionBackbone=Xception, Training Dataset=FF++(HQ), Reproduced Status=false2024.1074.2532.04