Multi-Granularity Domain-Adaptive Teacher for Unsupervised Remote Sensing Object Detection

Object detection in remote sensing images (RSIs) is pivotal for various tasks such as natural disaster warning, environmental monitoring, teacher–student urban planning. Object detection methods based on domain adaptation have emerged, which effectively decrease the dependence on annotated samples,...

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Detalhes bibliográficos

Principais autores:	Fang Fang, Jianing Kang, Shengwen Li, Panpan Tian, Yang Liu, Chaoliang Luo, Shunping Zhou
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-05-01
coleção:	Remote Sensing
Assuntos:	unsupervised domain adaptation (UDA) remote sensing image (RSI) object detection multi-granularity features
Acesso em linha:	https://www.mdpi.com/2072-4292/17/10/1743
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