Group-Sensitive Triplet Embedding for Vehicle Reidentification.
IEEE Transactions on Multimedia(2018)
摘要
The widespread use of surveillance cameras toward smart and safe cities poses the critical but challenging problem of vehicle reidentification (Re-ID). The state-of-the-art research work performed vehicle Re-ID relying on deep metric learning with a triplet network. However, most existing methods basically ignore the impact of intraclass variance-incorporated embedding on the performance of vehicl...
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关键词
Measurement,Surveillance,Visualization,Licenses,Cameras,Urban areas
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