LBRT: Local-Information-Refined Transformer for Image Copy–Move Forgery Detection

The current deep learning methods for copy–move forgery detection (CMFD) are mostly based on deep convolutional neural networks, which frequently discard a large amount of detail information throughout convolutional feature extraction and have poor long-range information extraction capabilities. The...

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發表在:	Sensors
Main Authors:	Peng Liang, Ziyuan Li, Hang Tu, Huimin Zhao
格式:	Article
語言:	英语
出版:	MDPI AG 2024-06-01
主題:	image copy–move forgery detection self-attention transformer local information refinement
在線閱讀:	https://www.mdpi.com/1424-8220/24/13/4143