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Face Forgery Detection with Noise Fusion by blissfuleuler9 is a document available to read on EtoBox.

What is Face Forgery Detection with Noise Fusion about?

The document presents a novel approach for detecting face forgery, specifically Deepfakes, through a combination of spatial and noise domain analysis. It introduces a Dual Feature Fusion Module and a Local Enhancement Attention Module to enhance feature representation and improve detection performance. Experimental results indicate that this method outperforms existing techniques on mainstream datasets, addressing the limitations of traditional detection methods.

Author

blissfuleuler9

Language

EN