IIN-FFD: Intra-Inter Network for Face Forgery Detection-Reference-Cited by-同舟云学术

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IIN-FFD: Intra-Inter Network for Face Forgery Detection

Published:2024-12 Issue:6 Volume:29 Page:1839-1850
ISSN:1007-0214
Container-title:Tsinghua Science and Technology
language:
Short-container-title:Tsinghua Sci. Technol.

Author:

Zhou Qihua¹,Zhou Zhili²,Bao Zhipeng¹,Niu Weina³,Liu Yuling⁴

Affiliation:

1. School of Software, Nanjing University of Information Science and Technology,Nanjing,China,210044

2. Institute of Artificial Intelligence, Guangzhou University,Guangzhou,China,510006

3. School of Computer Science, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731

4. School of Computer Science, Hunan University,Changsha,Hunan,China,410082

Publisher

Tsinghua University Press

Link

http://xplorestaging.ieee.org/ielx8/5971803/10565951/10566006.pdf?arnumber=10566006

Reference53 articles.

1. The Malicious Use of AI-Based Deepfake Technology as the New Threat to Psychological Security and Political Stability

2. Swapped face detection using deep learning and subjective assessment

3. Faceforensics: A large-scale video dataset for forgery detection in human faces;Rossler;arXiv preprint,2018

4. FaceForensics++: Learning to Detect Manipulated Facial Images

5. 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)

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