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	Locally shared features: An efficient alternative to conditional random field for semantic segmentation
	Yang, Zhengeng; Yu, Hongshan; Sun, Wei; Mao, Zhihong; Sun, Mingui
刊名	IEEE Access
	2019
卷号	Vol.7页码:2263-2272
ISSN号	2169-3536
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4615154
专题	湖南大学
作者单位	1.National Engineering Laboratory for Robot Visual Perception and Control Technology, College of Electrical and Information Engineering, Hunan University, Changsha 2.410082, China 3.Laboratory for Computational Neuroscience, University of Pittsburgh, P
推荐引用方式 GB/T 7714	Yang, Zhengeng,Yu, Hongshan,Sun, Wei,et al. Locally shared features: An efficient alternative to conditional random field for semantic segmentation[J]. IEEE Access,2019,Vol.7:2263-2272.
APA	Yang, Zhengeng,Yu, Hongshan,Sun, Wei,Mao, Zhihong,&Sun, Mingui.(2019).Locally shared features: An efficient alternative to conditional random field for semantic segmentation.IEEE Access,Vol.7,2263-2272.
MLA	Yang, Zhengeng,et al."Locally shared features: An efficient alternative to conditional random field for semantic segmentation".IEEE Access Vol.7(2019):2263-2272.

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