Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach笔记
前言 最近一直在看CVPR关于ReID的文章，前两天接连看了两篇基于数据增广提高模型accuracy的方法，感觉都是百变不离其宗差不多，有点看腻歪了的感觉，看到这篇文章，正如我刚刚对我郭师叔所说，换了一个角度，针对一个更小更具体的问题，提出了一种很有创意的想法。看的我很新奇也很开心。下面言归正传，介绍一下这篇文章。 摘要 关于行人重检测(person re-identification)前面已经介
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- 1. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach 阅读笔记
- 2. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach笔记
- 3. Deep Spatial Feature Reconstruction for Partial Person Re-identification Alignment-Free Approach(nt)
- 4. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach（CV18）
- 5. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 6. A Discriminative Feature Learning Approach for Deep Face Recognition 论文笔记
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- 10. 1604.An Enhanced Deep Feature Representation for Person Re-identification 论文笔记