New Finding and Unified Framework for Fake Image Detection
Author:
Affiliation:
1. School of Cyber Science and Technology, Beihang University, Beijing, China
2. School of Electronic and Information Engineering, Beihang University, Beijing, China
Funder
National Natural Science Foundation of China
Young Elite Scientists Sponsorship Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/10036333/10041767.pdf?arnumber=10041767
Reference36 articles.
1. FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals
2. Visualizing data using t-SNE;maaten;J Mach Learn Res,2008
3. Exposing Deep Fakes Using Inconsistent Head Poses
4. Aggregated Residual Transformations for Deep Neural Networks
5. Protecting World Leader Using Facial Speaking Pattern Against Deepfakes
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