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Latent 3D Volume for Joint Depth Estimation and Semantic Segmentation from a Single Image

This paper proposes a novel 3D representation, namely, a latent 3D volume, for joint depth estimation and semantic segmentation. Most previous studies encoded an input scene (typically given as a 2D image) into a set of feature vectors arranged over a 2D plane. However, considering the real world is...

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Detalles Bibliográficos
Autores principales:	Ito, Seiya, Kaneko, Naoshi, Sumi, Kazuhiko
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601744/ https://www.ncbi.nlm.nih.gov/pubmed/33053692 http://dx.doi.org/10.3390/s20205765

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