USF-Net: Infrared-Visible Image Fusion via Unified Semantics and Context Modulation

Infrared–visible image fusion aims to integrate structural details, natural appearance, and thermal target information from two source modalities, thereby improving visual perception in complex scenes. However, under challenging conditions such as low illumination, noise, low contrast, and overexpos...

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Hlavní autoři:	Dingding Fu, Zhongguo Li, Wenbin Fan, Qi Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-05-01
Edice:	Sensors
Témata:	infrared–visible image fusion semantic guidance context-aware fusion feature extraction text-guided supervision
On-line přístup:	https://www.mdpi.com/1424-8220/26/9/2874
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