ID-aware Quality for Set-based Person Re-identification论文笔记

时间 2021-01-17

标签论文阅读 ReID 繁體版

原文原文链接

1. 摘要针对set-based ReID问题，目前主流的一种做法是对set中的单张图像使用CNN提取特征，再对这些特征使用融合算法整合为set的特征表示。但是，质量（作者定义了感知质量和语义质量，perceptually/semantically low quality images）较差的图片和简单图片的过拟合会影响最终的特征表示。因此，Wang等人提出了ID-aware q

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1. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
2. 论文笔记：Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
3. Perceptual Quality Assessment of Smartphone Photography(论文笔记)
4. [论文笔记] Methodologies for Data Quality Assessment and Improvement (ACM Comput.Surv, 2009) (1)
5. RankIQA:Learning from Rankings for No-reference Image Quality Assessment论文阅读笔记
6. [论文笔记] Methodologies for Data Quality Assessment and Improvement (ACM Comput.Surv, 2009) (2)
7. 《PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION》论文笔记
8. 《A High-Quality Denoising Dataset for Smartphone Cameras》论文笔记
9. 【论文笔记】Objects365: A Large-scale, High-quality Dataset for Object Detection（ICCV 2019）
10. Part-Aligned Bilinear Representations for Person Re-identification 论文笔记

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