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Deepfake Detection on FaceForensics++

0.986Mean AccuracyAltFreeze
0.635520.726510.81750.90849Jul 6, 2021Apr 28, 2022Feb 18, 2023Dec 11, 2023Oct 2, 2024Jul 25, 2025May 17, 2026

Evaluation results

MethodLinks
AltFreezeProtocol=Train on remaining three2024.030.9860.9970.998—0.9620.986
OursProtocol=Train on remaining three2024.030.9840.9880.997—0.9640.986
FTCNProtocol=Train on remaining three, reproduced=true2024.030.9750.9930.998—0.9530.959
LipForensicsProtocol=Train on remaining three2024.030.9710.9010.997—0.9830.988
Face X-rayProtocol=Train on remaining three2024.030.9490.9320.995—0.9250.945
StyleGRUProtocol=Train on remaining three2024.030.830.6850.94—0.8060.888
PatchForensicsProtocol=Train on remaining three2024.030.8160.6050.94—0.8480.873
Convolutional Cross ViTBackbone=EfficientNet B02021.070.80.840.870.80.69—
CNN-GRUProtocol=Train on remaining three2024.030.7940.4760.976—0.8660.858
XceptionProtocol=Train on remaining three2024.030.7790.5120.939—0.7970.868
Proposed 3D CNNEvaluation Protocol=Zero-shot cross-dataset, Source Dataset=DeepfakeTIMIT2026.050.764—————
Efficient ViT2021.070.760.780.830.760.68—
Convolutional Cross ViTBackbone=Wodajo CNN2021.070.760.810.830.730.67—
CNN-augProtocol=Train on remaining three2024.030.7290.5630.875—0.6780.801
CNN+LSTMEvaluation Protocol=Zero-shot cross-dataset, Source Dataset=DeepfakeTIMIT2026.050.708—————
XceptionNetEvaluation Protocol=Zero-shot cross-dataset, Source Dataset=DeepfakeTIMIT2026.050.673—————
Convolutional ViT2021.070.670.690.930.460.6—
Frequency DomainEvaluation Protocol=Zero-shot cross-dataset, Source Dataset=DeepfakeTIMIT2026.050.661—————
Optical FlowEvaluation Protocol=Zero-shot cross-dataset, Source Dataset=DeepfakeTIMIT2026.050.649—————