【Person Re-ID】Person Re-Identification by Deep Learning Multi-Scale Representations
paper下载地址：http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf Introduction 本文主要的考虑是：目前所有re-id的方法，不管是不是基于CNN的，第一步都是将图像resize到统一大小然后再来提取特征。这种做法会模糊掉图像在不同尺度上的显著性特征，因此作者认为这样的方法不是最优的，本文提出了一种在
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相关文章
- 1. ReID简记-3-3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-id
- 2. Person Re-Identification by Deep Learning Multi-Scale Representations 论文笔记
- 3. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
- 4. Unsupervised Person Re-identification by Deep Learning Tracklet Association
- 5. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 6. 【ReID】Hierarchical and Efficient Learning for Person Re-Identification
- 7. Learning Generalisable Omni-Scale Representations for Person Re-Identification
- 8. Person Re-Identification (ReID), a New Facial Recognition Record
- 9. Learning Delicate Local Representations for Multi-Person Pose Estimation
- 10. 泛读论文：Person-reID 行人重识别合集