【论文阅读】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification

时间 2020-12-29

标签 re-id论文学习繁體版

原文原文链接

这篇文章是关于分块的特征学习用于行人再识别任务 CVPR2019 无标签可以参考的博客及连接: 介绍的比较详细博客，讲方法讲方法部分摘要简介本文提出了一种基于patch的无监督学习框架，以便从patch而不是整幅图像中学习识别特征，即利用patch之间的相似性来学习一个有区别的模型。（主要关注局部的信息）开发了PatchNet从featur

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1. Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification(CVPR2019)阅读笔记
2. 【论文笔记】Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
3. [CVPR2019]Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification论文笔记
4. 论文阅读-《Learning Deep Features for Discriminative Localization》
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6. [论文阅读]Learning a Discriminative Feature Network for Semantic Segmentation
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1. Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification(CVPR2019)阅读笔记
2. 【论文笔记】Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
3. [CVPR2019]Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification论文笔记
4. 论文阅读-《Learning Deep Features for Discriminative Localization》
5. 2019 CVPR：Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
6. [论文阅读]Learning a Discriminative Feature Network for Semantic Segmentation
7. 论文阅读02 Unsupervised Feature Learning for RGB-D Based Object Recognition
8. 1604.Joint Detection and Identification Feature Learning for Person Search论文阅读笔记
9. 1705.IAN- The Individual Aggregation Network for Person Search 论文阅读笔记
10. 论文阅读笔记：Unsupervised Feature Learning via Non-Parametric Instance Discrimination

>>更多相关文章<<