Complementary Local–Global Optimization for Few-Shot Object Detection in Remote Sensing

Few-shot object detection (FSOD) in remote sensing remains challenging due to the scarcity of annotated samples and the complex background environments in aerial images. Existing methods often struggle to capture fine-grained local features or suffer from bias during global adaptation to novel categ...

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Autors principals:	Yutong Zhang, Xin Lyu, Xin Li, Siqi Zhou, Yiwei Fang, Chenlong Ding, Shengkai Gao, Jiale Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-06-01
Col·lecció:	Remote Sensing
Matèries:	few-shot learning object detection pseudo-label semi-supervised learning
Accés en línia:	https://www.mdpi.com/2072-4292/17/13/2136
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