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	Real-time object segmentation based on convolutional neural network with saliency optimization for picking
	Chen Jinbo[1]; Wang Zhiheng[2]; Li Hengyu[3]
刊名	JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
	2018
卷号	29页码:1300-1307
关键词	convolutional neural network object detection object segmentation superpixel saliency optimization
ISSN号	1004-4132
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2167464
专题	上海大学
作者单位	1.[1]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China. 2.[2]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China. 3.[3]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China.
推荐引用方式 GB/T 7714	Chen Jinbo[1],Wang Zhiheng[2],Li Hengyu[3]. Real-time object segmentation based on convolutional neural network with saliency optimization for picking[J]. JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS,2018,29:1300-1307.
APA	Chen Jinbo[1],Wang Zhiheng[2],&Li Hengyu[3].(2018).Real-time object segmentation based on convolutional neural network with saliency optimization for picking.JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS,29,1300-1307.
MLA	Chen Jinbo[1],et al."Real-time object segmentation based on convolutional neural network with saliency optimization for picking".JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS 29(2018):1300-1307.

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