Semantic-Guided Multi-Level Collaborative Fusion Network for Visible and Infrared Images

The paramount value of image fusion is manifested in effectively enhancing downstream tasks. However, compatibility with subsequent tasks is compromised due to the semantic deficiency of fusion representations generated by current approaches. To mitigate this limitation, a semantic-guided multi-leve...

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Autori principali:	Lijun Yuan, Chuanjiang Xie, Ming Yang, Xiaoguang Tu, Qiqin Li, Xinyu Zhu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-04-01
Serie:	Sensors
Soggetti:	semantic prior cross-attention transformer feature calibration multi-level interaction cross-modal fusion object detection
Accesso online:	https://www.mdpi.com/1424-8220/26/9/2577
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