1705.Person Re-Identification by Deep Joint Learning of Multi-Loss Classification 论文阅读笔记
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification 本文采用多loss分类联合训练同时学习行人条纹局部特征和全局特征，受益于局部和全局学习到的特征具有互补性，因此得到的特征更具区分性。具体框架如下： 提出的JLML（Joint Learning Multi-Loss）模型框架如下： 1.两个分支，
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相关文章
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