FERFusion: A Fast and Efficient Recursive Neural Network for Infrared and Visible Image Fusion
Kaixuan Yang,
Wei Xiang,
Zhenshuai Chen
et al.
Abstract:The rapid development of deep neural networks has attracted significant attention in the infrared and visible image fusion field. However, most existing fusion models have many parameters and consume high computational and spatial resources. This paper proposes a fast and efficient recursive fusion neural network model to solve this complex problem that few people have touched. Specifically, we designed an attention module combining a traditional fusion knowledge prior with channel attention to extract modal-s… Show more
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