VNet: a versatile network to train real-time semantic segmentation models on a single GPU

doi:10.1007/s11432-020-2971-8

	VNet: a versatile network to train real-time semantic segmentation models on a single GPU
	Li, Wenxing 1,2; Lin, Ning 2,3; Zhang, Mingzhe 2; Lu, Hang 2,3; Chen, Xiaoming 2,3; Li, Xiaowei 2,3
刊名	SCIENCE CHINA-INFORMATION SCIENCES
	2022-03-01
卷号	65 期号:3 页码:2
ISSN号	1674-733X
DOI	10.1007/s11432-020-2971-8
资助项目	National Key R&D Program of China[2018YFA0701500] ; Strategic Priority Research Program of CAS[XDB44000000] ; Beijing Academy of Artificial Intelligence (BAAI) ; National Natural Science Foundation of China[61532017] ; CARCH Innovation Project[CARCH4506]
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000684396700001
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/17267]
专题	中国科学院计算技术研究所
通讯作者	Lu, Hang; Chen, Xiaoming; Li, Xiaowei
作者单位	1.Guizhou Univ, Coll Comp Sci & Technol, Guiyang 550025, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Li, Wenxing,Lin, Ning,Zhang, Mingzhe,et al. VNet: a versatile network to train real-time semantic segmentation models on a single GPU[J]. SCIENCE CHINA-INFORMATION SCIENCES,2022,65(3):2.
APA	Li, Wenxing,Lin, Ning,Zhang, Mingzhe,Lu, Hang,Chen, Xiaoming,&Li, Xiaowei.(2022).VNet: a versatile network to train real-time semantic segmentation models on a single GPU.SCIENCE CHINA-INFORMATION SCIENCES,65(3),2.
MLA	Li, Wenxing,et al."VNet: a versatile network to train real-time semantic segmentation models on a single GPU".SCIENCE CHINA-INFORMATION SCIENCES 65.3(2022):2.