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MFCLIP: Multi-Modal Fine-Grained CLIP for Generalizable Diffusion Face Forgery Detection
IEEE Transactions on Information Forensics and SecurityThe rapid development of photo-realistic face generation methods has raised significant concerns in society and academia, highlighting the urgent need for robust and generalizable face forgery detection (FFD) techniques.
Yaning Zhang +5 more
semanticscholar +1 more source
PRRNet: Pixel-Region relation network for face forgery detection
Pattern Recognition, 2021Hongtao Xie, Lingyun Yu, Yong-Dong Zhang
exaly
Deep Anomaly Detection for Generalized Face Forgery Detection
2023Fan Zhang +6 more
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Concentric Ring Loss for Face Forgery Detection
2023 IEEE International Conference on Data Mining (ICDM), 2023Yu Yin, Yue Bai, Yizhou Wang, Yun Fu
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ForgeryNIR: Deep Face Forgery and Detection in Near-Infrared Scenario
IEEE Transactions on Information Forensics and Security, 2022Chunlei Peng, Nannan Wang, Xinbo Gao
exaly
3D Attention Network for Face Forgery Detection
2023 4th Information Communication Technologies Conference (ICTC), 2023Zhiyuan Ma, Xue Mei, Jie Shen
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Face Forgery Detection with Cross-Level Attention
International Journal of Autonomous and Adaptive Communications SystemsYaju Liu +4 more
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Inconsistency-Aware Wavelet Dual-Branch Network for Face Forgery Detection
IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021Gengyun Jia, Xin Ma, Yuting Xu
exaly
Survey of Intelligent Face Forgery and Detection
Journal of Engineering Studies, 2020Yuhong Cao +4 more
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