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    • Large-scale Chinese data evaluation benchmark for face video forgery detection

    • Experts have developed a quantitative evaluation benchmark for Chinese scenarios and established the CHN-DF dataset to address the issue of highly realistic fake facial videos generated by AIGC technology. This provides data support and practical guidance for promoting the iterative development of anti-counterfeiting detection technology.
    • Vol. 31, Issue 1, Pages: 82-98(2026)   

      Received:28 February 2025

      Revised:2025-06-04

      Accepted:18 June 2025

      Published:16 January 2026

    • DOI: 10.11834/jig.250077     

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  • Bei Yijun, Lou Hengrui, Gao Kewei, Song Jie, Wang Rui, Jin Canghong, Lei Jie, Song Mingli, Hu Bingde, Feng Zunlei. 2026. Large-scale Chinese data evaluation benchmark for face video forgery detection. Journal of Image and Graphics, 31(1):0082-0098 DOI: 10.11834/jig.250077.
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相关作者

Bei Yijun 浙江大学软件学院;浙江大学计算机科学与技术学院
Lou Hengrui 浙江大学计算机科学与技术学院
Gao Kewei 浙江大学软件学院
Song Jie 浙江大学软件学院;浙江大学计算机科学与技术学院
Wang Rui 中国科学院信息工程研究所
Jin Canghong 浙大城市学院计算机与计算科学学院
Lei Jie 浙江工业大学计算机科学与技术学院
Song Mingli 浙江大学计算机科学与技术学院

相关机构

College of Computer and Computer Science, Hangzhou City University
University of Southampton,Southampton BJSO171, United Kingdom
Xi’an Jiaotong University
Harbin Institute of Technology
School of Biological Science and Medical Engineering, Southeast University
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