Joint Discriminative and Generative Learning for Person Re-identification
简介 只是简单的论文阅读笔记，不做深入解读 原理是，用一个DG-net的网络，集成了数据生成模块和reid学习模块，一个是外观代码块和一个结构代码块；外观代码用于提取行人的衣帽等特征，结构代码块用于提取行人的姿态，身材，头发颜色等的特征。输入两个图片，利用上面所说的两个模块进行特征的交换，这样就可以合成高质量的图像，实质就是利用生成的数据来进行数据的增强，然后再进行训练学习。
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相关文章
- 1. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
- 2. Person search: Joint Detection and Identification Feature Learning for Person Search笔记
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- 4. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning论文笔记
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