HFC-YOLO11: A Lightweight Model for the Accurate Recognition of Tiny Remote Sensing Targets

To address critical challenges in tiny object detection within remote sensing imagery, including resolution–semantic imbalance, inefficient feature fusion, and insufficient localization accuracy, this study proposes Hierarchical Feature Compensation You Only Look Once 11 (HFC-YOLO11), a lightweight...

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主要な著者:	Jinyin Bai, Wei Zhu, Zongzhe Nie, Xin Yang, Qinglin Xu, Dong Li
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-05-01
シリーズ:	Computers
主題:	tiny object detection remote sensing image hierarchical feature compensation lightweight design YOLO11
オンライン･アクセス:	https://www.mdpi.com/2073-431X/14/5/195
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