Person Re-identification by Local Maximal Occurrence Representation and Metric Learning（LOMO+XQDA）
2015年，学术界主流都在DL，而这篇文章却用传统方法达到了远超state of the art的结果： Retinex transform预处理： 为了解决不同摄像头下光照条件变化很大：作者在特征提取前进行了预处理，使用的是multiscale Retinex algorithm（这个算法之前做图像增强的时候接触过） ，Retinex algorithm能够增强光照阴影区域的色彩信息，有利于重识
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- 1. Re-ID: Person Re-identification by Local Maximal Occurrence Representation and Metric Learning 论文解析
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- 4. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning论文笔记
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相关文章
- 1. Re-ID: Person Re-identification by Local Maximal Occurrence Representation and Metric Learning 论文解析
- 2. DIVERSITY REGULARIZED METRIC LEARNING FOR PERSON RE-IDENTIFICATION（ICIP2016）
- 3. Stepwise Metric Promotion for Unsupervised Video Person Re-identification
- 4. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning论文笔记
- 5. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 6. Improving Person Re-identification by Attribute and Identity Learning
- 7. 【论文笔记】Improving Person Re-identification by Attribute and Identity Learning
- 8. Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation
- 9. 2019 IET之ReID：HPILN: a feature learning framework for cross-modality person re-identification
- 10. Self-Supervised Representation Learning