Research Article

Multisemantic Path Neural Network for Deepfake Detection

Table 6

Face cross test results, using frame-level AUC (%) to compare our method with others on both benchmarks.

MethodFF-DFCeleb-DFv2

Two-stream [49]70.153.8
Meso4 [4]84.754.8
MesoInception4 [4]83.053.6
HeadPose [51]47.354.6
FWA [52]80.156.9
DSP-FWA [52]93.064.0
VA-MLP [53]66.455.0
VA-LogReg [53]78.055.1
Xception [6]93.6564.52
Multitask [54]76.354.3
Two branch [55]93.1873.41
Capsule [56]96.657.5
Ours96.766.7

Bold values indicate higher results in two experiments.