CASIA OpenIR  > 智能制造技术与系统研究中心  > 智能机器人
Correlational examples for convolutional neural networks to detect small impurities
Guo, Yue1,2; He, Yijia1,2; Song, Haitao1; He, Wenhao1; Yuan, Kui1
Source PublicationNEUROCOMPUTING
2018-06-21
Volume295Issue:21Pages:127-141
SubtypeArticle
AbstractConvolutional 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.
KeywordImpurity Detection Multi-frame Correlation Convolutional Neural Network Correlational Example Sequential Training
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.neucom.2018.03.017
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation (NNSF) of China(61421004)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000430227300012
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20969
Collection智能制造技术与系统研究中心_智能机器人
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing, Peoples R China
Recommended Citation
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.
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