A Model of Dual Fabry-Perot Etalon-Based External-Cavity Tunable Laser Us...
Internal motion within pulsating pure-quartic soliton molecules in a fibe...
Enhanced light emission of germanium light-emitting-diode on 150 mm germa...
The Fabrication of GaN Nanostructures Using Cost-Effective Methods for Ap...
Negative-to-Positive Tunnel Magnetoresistance in van der Waals Fe3GeTe2/C...
Quantum Light Source Based on Semiconductor Quantum Dots: A Review
A High-Reliability RF MEMS Metal-Contact Switch Based on Al-Sc Alloy
Development of a Mode-Locked Fiber Laser Utilizing a Niobium Diselenide S...
Development of Multiple Fano-Resonance-Based All-Dielectric Metastructure...
Traffic Vibration Signal Analysis of DAS Fiber Optic Cables with Differen...
官方微信
友情链接

A brief survey on RGB-D semantic segmentation using deep learning

2021-10-21

 

Author(s): Wang, CS (Wang, Changshuo); Wang, C (Wang, Chen); Li, WJ (Li, Weijun); Wang, HN (Wang, Haining)

Source: DISPLAYS Volume: 70 Article Number: 102080 DOI: 10.1016/j.displa.2021.102080 Published: DEC 2021

Abstract: Semantic segmentation is referred to as a process of linking each pixel in an image to a class label. With this pragmatic technique, it is possible to recognize different objects in an RGB image based on the color and texture, and hence it becomes easier to evaluate. Recently, researchers could perform semantic segmentation pretty well in RGB images. However, the methods based on RGB image lack enough information to realize semantic segmentation of complex scenes. RGB-D semantic segmentation with depth information has been proved to achieve better segmentation results by a lot of experiments, but there is a lack of a comprehensive survey. In this paper, the main purpose is to offer a detailed review of RGB-D semantic segmentation according to the research progress in recent years. Specifically, recently updated RGB-D datasets will be focused on first, and problems on RGB-D semantic segmentation will be discussed. In the end, a comprehensive analysis is carried out on recent methods and their analysis of the semantic segmentation.

Accession Number: WOS:000703884000005

ISSN: 0141-9382

eISSN: 1872-7387

Full Text: https://www.sciencedirect.com/science/article/pii/S014193822100086X?via%3Dihub



关于我们
下载视频观看
联系方式
通信地址

北京市海淀区清华东路甲35号(林大北路中段) 北京912信箱 (100083)

电话

010-82304210/010-82305052(传真)

E-mail

semi@semi.ac.cn

交通地图
版权所有 中国科学院半导体研究所

备案号:京ICP备05085259-1号 京公网安备110402500052 中国科学院半导体所声明