Improving Person Re-identification by Attribute and Identity Learning Lin Y, Zheng L, Zheng Z, et al. Improving Person Re-identification by Attribute and Identity Learning[J]. 2017. 这篇论文主要是将attribute learning和Person Re-id结合起来,做了一个多任务学习网络. 在这里顺介绍下机器学习…
打算整理一个关于Person Re-identification的系列论文笔记,主要记录近年CNN快速发展中的部分有亮点和借鉴意义的论文. 论文笔记流程采用contributions->algorithm pipeline>experiments->个人评价 Scalable Person Re-identification: A Benchmark Zheng L, Shen L, Tian L, et al. Scalable Person Re-identification: A…
A Discriminatively Learned CNN Embedding for Person Re-identification Zheng Z, Zheng L, Yang Y. A Discriminatively Learned CNN Embedding for Person Re-identification[J]. Acm Transactions on Multimedia Computing Communications & Applications, 2017, 14…
SVDNet for Pedestrian Retrieval Sun Y, Zheng L, Deng W, et al. SVDNet for Pedestrian Retrieval[J]. 2017.a spotlight at ICCV 2017 这篇的出发点是全连接层的权值相关性分析,作者认为全连接层的作用可以看做一组向量投影.当权值直接相关性较高时(可以理解为权值冗余),特征差异小,直接导致检索中距离差异小,无法获取差异化的特征. 作者提出用SVD对降维层进行操作,提高权值矩阵的正…
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association2018-09-29 19:36:43 Paper:http://openaccess.thecvf.com/content_ECCV_2018/papers/Dapeng_Chen_Improving_Deep_Visual_ECCV_2018_paper.pdf 1. I…
Human Semantic Parsing for Person Re-identification Kalayeh M M, Basaran E, Gokmen M, et al. Human Semantic Parsing for Person Re-identification[J]. 2018. 这篇是截止发文时在Market-1501上性能最高的论文.主要思想可以归结到软划分的范畴, 借助精确分割的信息去提取部件特征,再辅以其他tricks(大规模的backbone,较大的网络输入…
AlignedReID Zhang X, Luo H, Fan X, et al. AlignedReID: Surpassing Human-Level Performance in Person Re-Identification[J]. 2017. 本篇是来自旷视的一篇论文,刚发出来时号称超越人类分辨能力. 看性能指标确实挺高,其主要亮点是利用行人局部区域之间的联系(头下面是肩部,肩部下面是躯干)对行人对象进行对齐,从而减少不对齐导致的局部距离过大. 然后添加了一堆的训练tricks(tr…
Beyond Part Models: Person Retrieval with Refined Part Pooling Sun Y, Zheng L, Yang Y, et al. Beyond Part Models: Person Retrieval with Refined Part Pooling[J]. 2017. 这篇是SVD-net作者的新作,也是我个人比较喜欢一篇. 主要内容是找到了一种既能精确划分部件信息而又不借助姿态估计的方法,提出了PCB+RPP的网络框架.PCB是硬…
Re-ID done right: towards good practices for person re-identification Almazan J, Gajic B, Murray N, et al. Re-ID done right: towards good practices for person re-identification[J]. 2018. 这篇总结了一套行之有效的Re-id训练策略和调参经验.创新点不多,但对工程有较好的借鉴意义. contributions 1.…
Heterogeneous Image Features Integration via Multi-Modal Semi-Supervised Learning Model ICCV 2013 本文提出了一种结合多种传统手工设计 feature 的多模态方法,在 label propagation 的基础上进行标签传递,进行半监督学习,综合利用各种 feature 的优势,自适应的对各种feature 的效果进行加权,即:对于判别性较好的 feature给予较高的权重,较差的 feature…