下面要看的文件列表

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http://blog.csdn.net/hjimce/article/details/50098483
paper主要创新点:在创新点方面,我觉得主要是把Siamese 网络的双分支,合在一起,从而提高了精度
主要讲解2015年CVPR的一篇关于图像相似度计算的文章:《Learning to Compare Image Patches via Convolutional Neural Networks》,本篇文章对经典的算法Siamese Networks 做了改进.

person re-identification dataset :http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/projectpages/reiddataset.html

http://www.micc.unifi.it/lisanti/source-code/re-id/
Person Re-Identification by Iterative Re-Weighted Sparse Ranking

http://blog.csdn.net/lv26230418/article/details/51312348?locationNum=15&fps=1
An Enhanced Deep Feature Representation for Person Re-identification

http://blog.csdn.net/zdh2010xyz/article/details/53646804
Person Re-Identification Meets Image Search
(market-1501)

A Multi-task Deep Network for Person Re-identification

行人检索”Deep Ranking for Person Re-identification via Joint Representation Learning”
把图像拼在一起进行输入,比如一张图片是256*128,拼在一起是256*256

Deep Attributes Driven Person Re-identification

http://www.th7.cn/db/mysql/201411/78883.shtml

An enhanced deep feature representation for person re-identification

Constrained Deep Metric Learning for Person Re-identification

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