Person Re-Identification by Deep Joint Learning of Multi-Loss Classification——准研究生论文周报

时间 2021-01-06

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1 标题 Person Re-Identification by Deep Joint Learning of Multi-Loss Classification 来源：IJCAI 2017 日期：7月6日 2 概述发文当时(2017年)，用特征提取做REID的学者很多，但这些工作往往仅通过全局(global)特征或局部(local)特征实现。全局特征和局部特征之间存在一定的互补性，合

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1. 1705.Person Re-Identification by Deep Joint Learning of Multi-Loss Classification 论文阅读笔记
2. Unsupervised Person Re-identification via Multi-label Classification——准研究生论文周报
3. Deep Learning for Person Re-identification: A Survey and Outlook——准研究生论文周报
4. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
5. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning论文笔记
6. AdderNet: Do we really need multiplications in deep learning——准研究生论文周报
7. Infrared-Visible Cross-Modal Person Re-Identification with an X Modality——准研究生论文周报
8. Sampling Matters in Deep Embdding Learning论文研究
9. DeepID2：Deep Learning Face Representation by Joint Identification-Verification
10. 【论文笔记】Joint Unsupervised Learning of Deep Representations and Image Clusters

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