Infrared and Visible Image Fusion via Residual Interactive Transformer and Cross-Attention Fusion

Infrared and Visible Image Fusion via Residual Interactive Transformer and Cross-Attention Fusion

Infrared and visible image fusion combines infrared and visible images of the same scene to produce a more informative and comprehensive fused image. Existing deep learning-based fusion methods fail to establish dependencies between global and local information during feature extraction. This result...

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Bibliographic Details
Main Authors: Liquan Zhao, Chen Ke, Yanfei Jia, Cong Xu, Zhijun Teng
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
transformer
attention mechanism
deep learning
image fusion
infrared and visible images
Online Access:https://www.mdpi.com/1424-8220/25/14/4307
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