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

Internet

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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