ScoreSeg: Leveraging Score-Based Generative Model for Self-Supervised Semantic Segmentation of Remote Sensing

The performance of semantic segmentation of remote sensing images (RSIs) heavily depends on the number of pixel-level annotations. In practice, the accumulation of pixel-level annotations for large RSIs is quite expensive or even impossible under certain scenarios. Here, we try to solve this data-in...

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Autors principals:	Junzhe Lu, Guangjun He, Hongkun Dou, Qing Gao, Leyuan Fang, Yue Deng
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Remote sensing score-based generative model self-supervised learning semantic segmentation
Accés en línia:	https://ieeexplore.ieee.org/document/10250931/
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