Correlational examples for convolutional neural networks to detect small impurities
Guo, Yue1,2; He, Yijia1,2; Song, Haitao1; He, Wenhao1; Yuan, Kui1
2018-06-21
发表期刊NEUROCOMPUTING
卷号295期号:21页码:127-141
文章类型Article
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.
关键词Impurity Detection Multi-frame Correlation Convolutional Neural Network Correlational Example Sequential Training
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2018.03.017
收录类别SCI
语种英语
项目资助者National Natural Science Foundation (NNSF) of China(61421004)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000430227300012
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20969
专题智能制造技术与系统研究中心_智能机器人
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
neurocomputing 2018.(6876KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Guo, Yue]的文章
[He, Yijia]的文章
[Song, Haitao]的文章
百度学术
百度学术中相似的文章
[Guo, Yue]的文章
[He, Yijia]的文章
[Song, Haitao]的文章
必应学术
必应学术中相似的文章
[Guo, Yue]的文章
[He, Yijia]的文章
[Song, Haitao]的文章
相关权益政策
暂无数据
收藏/分享
文件名: neurocomputing 2018.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

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。