《论文阅读》Unsupervised Person Re-identification via Softened Similarity Learning
留个笔记自用 Unsupervised Person Re-identification via Softened Similarity Learning 做什么 Person Re-identification行人重识别，给定一个查询图像（即源图像），行人重识别的目标是在多个不重叠的摄像机之间匹配人（即找到与源图像相同的人） 做了什么 本文采用的是一种无监督的方法，不需要对训练集内的任何图像进行
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相关文章
- 1. 【论文阅读】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
- 2. 论文阅读:Unsupervised Deep Learning by Neighbourhood Discovery
- 3. 论文阅读笔记：Unsupervised Feature Learning via Non-Parametric Instance Discrimination
- 4. 论文阅读——Mockingjay: unsupervised speech representation learning
- 5. Unsupervised Learning of Edges 论文阅读
- 6. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 7. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning论文笔记
- 8. 【论文1】Unsupervised Person Re-identification via Multi-label Classification
- 9. Unsupervised Person Re-identification via Multi-label Classification——准研究生论文周报
- 10. 粗读CVPR2019 论文 Transfer Learning via Unsupervised Task Discovery for Visual Question Answering