FD2Foremer: Thinking Face Forgery Detection in Midfrequency Geometry Details
Table 4
Results (%) of distillation for a sequence of selected . All trained with the image and the displacement map as inputs on low-quality FF++. The metric is ACC.
Teacher
Student
Testing data (ACC)
FF++(LQ)
DFDC
DF2Former(swin)
DF2Former(meta)
0
81.85
85.43
DF2Former(swin)
DF2Former(meta)
0.2
82.73
86.72
DF2Former(swin)
DF2Former(meta)
0.4
82.86
85.77
DF2Former(swin)
DF2Former(meta)
0.6
82.83
86.58
DF2Former(swin)
DF2Former(meta)
0.8
82.51
86.27
DF2Former(swin)
DF2Former(meta)
1
82.37
86.08
The metric is ACC. Best results are shown in bold.