Mf-net: multi-feature fusion network based on two-stream extraction and multi-scale enhancement for face forgery detection

Mf-net: multi-feature fusion network based on two-stream extraction and multi-scale enhancement for face forgery detection

Abstract Due to the increasing sophistication of face forgery techniques, the images generated are becoming more and more realistic and difficult for human eyes to distinguish. These face forgery techniques can cause problems such as fraud and social engineering attacks in facial recognition and ide...

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Bibliographic Details
Main Authors: Hanxian Duan, Qian Jiang, Xin Jin, Michal Wozniak, Yi Zhao, Liwen Wu, Shaowen Yao, Wei Zhou
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Complex & Intelligent Systems
Subjects:
Deepfake detection
Face forgery detection
Deep learning
Attention mechanism
Feature extraction
Feature enhancement
Online Access:https://doi.org/10.1007/s40747-024-01634-6
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