MambaCFFuse: Infrared and visible image fusion based on VMamba with Complementary Feature Aggregation

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Bicao Li, Xingguang Li, Bei Wang, Yifan Du, Zhuhong Shao, Jie Huang, Jiaxi Lu, Jinbo Yang

Published: 2025, Last Modified: 07 Nov 2025Appl. Soft Comput. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Proposing a Vamba-based encoder in the field of infrared and visible image fusion.•Designing a Fusion State Space Block for fully learning the global spatial context information.•Aggregating co-occurrence and difference features of images by a two-branch approach.•Designing a dedicated loss function for fusion performance optimization.•Performance of fusion promotes on MSRS public dataset.