Correlational examples for convolutional neural networks to detect small impurities

doi:10.1016/j.neucom.2018.03.017

CORC > 自动化研究所 > 中国科学院自动化研究所 > 智能制造技术与系统研究中心 > 智能机器人团队

	Correlational examples for convolutional neural networks to detect small impurities
	Guo, Yue1,2 ; He, Yijia1,2 ; Song, Haitao1 ; He, Wenhao1 ; Yuan, Kui1
刊名	NEUROCOMPUTING
	2018-06-21
卷号	295 期号:21 页码:127-141
关键词	Impurity Detection Multi-frame Correlation Convolutional Neural Network Correlational Example Sequential Training
DOI	10.1016/j.neucom.2018.03.017
文献子类	Article
英文摘要	Convolutional neural networks have been significantly improving common object detection performances for a long time. However, targets across frames are independently detected in an image sequence, and object detection methods in multiple frames are generally divided into two main stages: object detection in every single frame and feature map association across frames. In this paper, a multi-frame detection framework is proposed to directly detect small impurities in opaque glass bottles with liquor. Specifically, a convolutional neural network trained with correlational examples simultaneously detects and correlates proposals, and then links them selectively to obtain robust detection results under challenging illuminations. Besides, memory costs of patch pairs become extremely large compared with those of patches, thus a sequential training procedure is introduced to relax hardware requirements. Extensive experiments on impurity datasets demonstrate superior performances of multi-frame detection frameworks with convolutional neural networks than traditional single-frame models. (C) 2018 Elsevier B.V. All rights reserved.
WOS研究方向	Computer Science
语种	英语
WOS记录号	WOS:000430227300012
资助机构	National Natural Science Foundation (NNSF) of China(61421004)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/20969]
专题	自动化研究所_智能制造技术与系统研究中心_智能机器人团队
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Guo, Yue,He, Yijia,Song, Haitao,et al. Correlational examples for convolutional neural networks to detect small impurities[J]. NEUROCOMPUTING,2018,295(21):127-141.
APA	Guo, Yue,He, Yijia,Song, Haitao,He, Wenhao,&Yuan, Kui.(2018).Correlational examples for convolutional neural networks to detect small impurities.NEUROCOMPUTING,295(21),127-141.
MLA	Guo, Yue,et al."Correlational examples for convolutional neural networks to detect small impurities".NEUROCOMPUTING 295.21(2018):127-141.