A novel single robot image shadow detection method based on convolutional block attention module and unsupervised learning network

Shadow detection plays a very important role in image processing. Although many algorithms have been proposed in different environments, it is still a challenging task to detect shadows in natural scenes. In this paper, we propose a convolutional block attention module (CBAM) and unsupervised domain...

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Autors principals:	Jun Zhang, Junjun Liu
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2022-11-01
Col·lecció:	Frontiers in Neurorobotics
Matèries:	robot image shadow detection hierarchical domain adaptation strategy boundary adversarial branch unsupervised learning convolutional block attention module
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fnbot.2022.1059497/full
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