Two-Stream Neural Networks for Tampered Face Detection

computer vision and pattern recognition, 2017.

Cited by: 90|Bibtex|Views13|Links
EI

Abstract:

We propose a two-stream network for face tampering detection. We train GoogLeNet to detect tampering artifacts in a face classification stream, and train a patch based triplet network to leverage features capturing local noise residuals and camera characteristics as a second stream. In addition, we use two different online face swaping ap...More

Code:

Data:

Your rating :
0

 

Tags
Comments