07 2018 档案
摘要:Human Semantic Parsing for Person Re-identification Kalayeh M M, Basaran E, Gokmen M, et al. Human Semantic Parsing for Person Re-identification[J]. 2
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摘要: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 P
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摘要: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
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摘要:CNN的权值正交性和特征正交性,在一定程度上是和特征表达的差异性存在一定联系的。 下面两篇论文,一篇是在训练中对权值添加正交正则提高训练稳定性,一篇是对特征添加正交性的损失抑制过拟合。 第一篇:Orthonormality Regularization Xie D, Xiong J, Pu S. A
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摘要: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
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摘要: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 fo
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摘要:http://bindog.github.io/blog/2016/06/04/from-sne-to-tsne-to-largevis/#top
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摘要:Improving Person Re-identification by Attribute and Identity Learning Lin Y, Zheng L, Zheng Z, et al. Improving Person Re-identification by Attribute
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摘要:A Discriminatively Learned CNN Embedding for Person Re-identification Zheng Z, Zheng L, Yang Y. A Discriminatively Learned CNN Embedding for Person Re
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摘要: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-i
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