把自己看的都放在这里~
CVPR2019 | 行人检测新思路：高级语义特征检测取得精度新突破
https://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247488257&idx=2&sn=58fd5d1a156b5e4f4d06cd4d187181a9&chksm=ec1ffef8db6877ee969fae220dd2c6d12b4c33b9f0bec78cf9c1d56d5931d3867ad44cbcd23f&token=1096185081&lang=zh_CN#rd
理解目标检测当中的mAP
https://blog.csdn.net/hsqyc/article/details/81702437
深度学习近期总结分析
https://mp.weixin.qq.com/s?__biz=MzU0NTAyNTQ1OQ==&mid=2247483981&idx=1&sn=54775b0a245c449b84d476178d389796&chksm=fb727e91cc05f787fb2b5db18bf73db946f6aa22434ef0a638a9d8e90f162fbd268ec1f75fa5&scene=21#wechat_redirect
基础知识 | 目标检测中Anchor的认识及理解
https://blog.csdn.net/gzq0723/article/details/88216020
如何一步一步搭建简单的行人重识别系统
https://mp.weixin.qq.com/s/fUNTM1zdRUxQfvC0IwcItw
深度学习进阶CV-目标检测
https://aistudio.baidu.com/bdvgpu/user/92255/98171/notebooks/98171.ipynb?redirects=1
深度学习从入门到精通, AI Studio精选内容推荐
https://aistudio.baidu.com/aistudio/messagedetail/42
【CVPR2019正式公布】行人重识别论文 附下载链接
https://mp.weixin.qq.com/s/og9NtGm2skpW9lgbp9Gefg
https://github.com/extreme-assistant/cvpr2019
行人重识别算法优化技巧：Bags of Tricks and A Strong Baseline
https://mp.weixin.qq.com/s/BDgIf6foDGtCNc48JPqrcg
基于深度学习的行人重识别研究综述
https://mp.weixin.qq.com/s/uNzZ5bLFpUXh2UJjX4cKJw
R Talk | 旷视研究院张弛：行人重识别及其应用
https://mp.weixin.qq.com/s/u-6Nl8jjje8B_DkE8b-Kug
7.【CVPR 2019oral Joint Discriminative and Generative Learning for Person Re-identification】
论文下载:
https://arxiv.org/abs/1904.07223
GitHub代码:
https://github.com/NVlabs/DG-Net
https://github.com/layumi/Person_reID_baseline_pytorch
8.【CVPR 2019oral 】Unsupervised Person Re-identification by Soft Multilabel Learning
论文下载:
arxiv.org/abs/1903.0632
解读：https://www.cnblogs.com/Thinker-pcw/p/10807681.html
https://blog.csdn.net/weixin_39417323/article/details/88661401
GitHub代码:
https://github.com/KovenYu/MAR
