Weakly Supervised Semantic Segmentation of Remote Sensing Images Using Siamese Affinity Network

In recent years, weakly supervised semantic segmentation (WSSS) has garnered significant attention in remote sensing image analysis due to its low annotation cost. To address the issues of inaccurate and incomplete seed areas and unreliable pseudo masks in WSSS, we propose a novel WSSS method for re...

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Detalhes bibliográficos

Principais autores:	Zheng Chen, Yuheng Lian, Jing Bai, Jingsen Zhang, Zhu Xiao, Biao Hou
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-02-01
coleção:	Remote Sensing
Assuntos:	Siamese network SAM remote sensing images weakly supervised semantic segmentation (WSSS)
Acesso em linha:	https://www.mdpi.com/2072-4292/17/5/808
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