Bi-source Reconstruction based Classification Network for Face Forgery Video Detection-Reference-Cited by-同舟云学术

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Bi-source Reconstruction based Classification Network for Face Forgery Video Detection

Published:2024 Issue: Volume: Page:1-1
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Zhang Dongming¹^ORCID,Fu Chenqin¹,Lu Dingyu²,Li Jun¹,Zhang Yongdong³^ORCID

Affiliation:

1. State Key Laboratory of Communication Content Cognition, People’s Daily Online, Beijing, China

2. Faculty of Information Technology, Beijing University of Technology, Beijing, China

3. School of Information Science and Technology, University of Science and Technology of China, Hefei, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/10309166.pdf?arnumber=10309166

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