A Multi-Stage Cross-Modal Fusion Framework for Visible–Infrared Object Detection

In visible–infrared object detection under complex environments, cross-modal fusion often suffers from spatial misalignment, semantic inconsistency, and unstable feature responses under varying illumination conditions. To address these issues, this paper proposes a dual-branch visible–infrared objec...

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Auteurs principaux:	Anfu Zhu, Yinbing Chen, Heng Guo, Zhizeng Zhang, Yaning Yang, Qinghua Jiang, Yueyong Li, Yi Yang
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-06-01
Collection:	Applied Sciences
Sujets:	multimodal feature fusion staged cross-modal fusion dual-branch detection framework visible–infrared object detection YOLOv11
Accès en ligne:	https://www.mdpi.com/2076-3417/16/12/5771
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