【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification

时间 2020-12-30

标签深度学习繁體版

原文原文链接

paper下载地址：https://arxiv.org/abs/1711.10658 Introduction 基于CNN方法的person re-id方法可以分为三类：基于全局描述的方法基于局部描述的方法结合全局描述和局部描述的方法局部描述能够提取行人的一些细节信息，在大多数试验中都能比单独用全局描述的方法要好。通常的做法是将新人图像分割成几个rigid的块，然后每个块分别进行分类。这样

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1. 【ReID】Learning Discriminative Features with Multiple Granularities for Person Re-identification
2. Joint Discriminative and Generative Learning for Person Re-identification
3. Learning Deep Features for Discriminative Localization
4. 【ReID】Hierarchical and Efficient Learning for Person Re-Identification
5. 《Learning Part-based Convolutional Features for Person Re-identification》TPAMI2019
6. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
7. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning论文笔记
8. ReID简记-3-3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-id
9. Learning Deep Features for Discriminative Localization笔记
10. Learning Deep Features for Discriminative Localization 笔记2

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