Deep Learning for Person Re-identification: A Survey and Outlook——准研究生论文周报
1 简介 这是一篇综述性文章，本文从closed-world和open-world两个方面较细致地分析了Re-ID，并展望了前景。这次的心得写得较长，也算是一个总结。 首先，作者通过将Re-ID分为封闭世界(closed-world)的ReID和开放世界(open-world)的Re-ID来陈述，如下表，通俗地说，closed-world指的就是较为理想的环境下的实验，比如单模态的数据集、
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相关文章
- 1. 2020Arxiv之ReID：Deep Learning for Person Re-identification: A Survey and Outlook论文笔记
- 2. Person Re-Identification by Deep Joint Learning of Multi-Loss Classification——准研究生论文周报
- 3. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 4. Unsupervised Person Re-identification via Multi-label Classification——准研究生论文周报
- 5. 【论文笔记】Deep Learning on Graphs: A Survey
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- 8. Deep Learning on Graphs: A Survey论文笔记
- 9. (ch8) Deep Learning for Anomaly Detection: A Survey
- 10. AdderNet: Do we really need multiplications in deep learning——准研究生论文周报