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...

Full description

Bibliographic Details
Main Authors: Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/20/5765