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SFA-MDEN: Semantic-Feature-Aided Monocular Depth Estimation Network Using Dual Branches

Monocular depth estimation based on unsupervised learning has attracted great attention due to the rising demand for lightweight monocular vision sensors. Inspired by multi-task learning, semantic information has been used to improve the monocular depth estimation models. However, multi-task learnin...

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Detalles Bibliográficos
Autores principales:	Wang, Rui, Zou, Jialing, Wen, James Zhiqing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398641/ https://www.ncbi.nlm.nih.gov/pubmed/34450917 http://dx.doi.org/10.3390/s21165476

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