Joint Soft–Hard Attention for Self-Supervised Monocular Depth Estimation

In recent years, self-supervised monocular depth estimation has gained popularity among researchers because it uses only a single camera at a much lower cost than the direct use of laser sensors to acquire depth. Although monocular self-supervised methods can obtain dense depths, the estimation accu...

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Autors principals:	Chao Fan, Zhenyu Yin, Fulong Xu, Anying Chai, Feiqing Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-10-01
Col·lecció:	Sensors
Matèries:	monocular depth estimation self-supervised learning attention mechanism
Accés en línia:	https://www.mdpi.com/1424-8220/21/21/6956
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