Robust face forgery detection integrating local texture and global texture information

Robust face forgery detection integrating local texture and global texture information

Abstract Facial forgery technology is advancing rapidly, leading to significant social security concerns. In recent years, as forgery technologies and types continue to emerge, many methods struggle to strike a balance between accuracy and robustness. Most existing methods rely on CNN to extract hig...

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Bibliographic Details
Main Authors: Rongrong Gong, Ruiyi He, Dengyong Zhang, Arun Kumar Sangaiah, Mohammed J. F. Alenazi
Format: Article
Language:English
Published: SpringerOpen 2025-02-01
Series:EURASIP Journal on Information Security
Subjects:
Face forgery detection
Texture feature
Channel-attention
Adaptive feature fusion
Deepfake
Online Access:https://doi.org/10.1186/s13635-025-00189-4
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https://doi.org/10.1186/s13635-025-00189-4

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