QQ客服 官方微博 反馈留言

	Box-level segmentation supervised deep neural networks for accurate and real-time multispectral pedestrian detection
	Yanpeng Cao; Dayan Guan; Yulun Wu; Jiangxin Yang; Yanlong Cao; Michael Ying Yang
刊名	ISPRS Journal of Photogrammetry and Remote Sensing
	2019
卷号	Vol.150页码:70-79
关键词	Multispectral data Pedestrian detection Deep neural networks Box-level segmentation Real-time application
ISSN号	0924-2716
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/4735915
专题	湖南大学
作者单位	1.b Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China 2.Scene Understanding Group, University of Twente, Hengelosestraat 99, 7514 AE Enschede, The Netherlands a State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China
推荐引用方式 GB/T 7714	Yanpeng Cao,Dayan Guan,Yulun Wu,et al. Box-level segmentation supervised deep neural networks for accurate and real-time multispectral pedestrian detection[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2019,Vol.150:70-79.
APA	Yanpeng Cao,Dayan Guan,Yulun Wu,Jiangxin Yang,Yanlong Cao,&Michael Ying Yang.(2019).Box-level segmentation supervised deep neural networks for accurate and real-time multispectral pedestrian detection.ISPRS Journal of Photogrammetry and Remote Sensing,Vol.150,70-79.
MLA	Yanpeng Cao,et al."Box-level segmentation supervised deep neural networks for accurate and real-time multispectral pedestrian detection".ISPRS Journal of Photogrammetry and Remote Sensing Vol.150(2019):70-79.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。