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Re-ID: Person Re-identification by Local Maximal Occurrence Representation and Metric Learning 论文解析
时间 2021-01-06
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Re-id
LOMO
XQDA
行人再识别
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注: 刚刚看完了这篇论文,顺便整理了一下这篇论文的思路,对论文的方法表示666 项目主页:http://www.cbsr.ia.ac.cn/users/scliao/projects/lomo_xqda/ 论文解析 行人重识别有两个特别重要的问题: Feature representation Metric learning 在这篇论文中,作者采用的是LOMO的特征表示方法,以及XQDA的度量学习
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相关文章
1.
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning(LOMO+XQDA)
2.
1505.Deep Ranking for Person Re-identification via Joint Representation Learning论文笔记
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DIVERSITY REGULARIZED METRIC LEARNING FOR PERSON RE-IDENTIFICATION(ICIP2016)
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【论文阅读】Improving Person Re-identification by Attribute and Identity Learning
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