2014 CVPR-DeepReID Deep Filter Pairing Neural Network for Person Re-Identification
论文地址 第一篇用深度学习来做Re-ID的工作，介绍了很多基础性的概念 model部分对CNN的设计思路讲的很详细，有些细节还没有完全搞懂，回头会继续理解总结~ Motivation 传统的re-ID的流程如下图： 现在的re-ID工作要么是分开优化流程中的几个模块，要么是顺序优化，这种做法如果有用的信息在之前的步骤中丢失就难以在恢复了，影响整个系统的性能。 那么有没有办法来建立一个不同模块之间可
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相关文章
- 1. 论文笔记：DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification
- 2. DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification 论文记录
- 3. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning论文笔记
- 4. part-aligned系列论文：1707.ICCV.Pedestrian Alignment Network for Large-scale Person Re-identification 论文
- 5. Tips for Training Deep Neural Network
- 6. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 7. Deep Saliency:Multi_Task Deep Neural Network Model for Salient object detection
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- 10. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression 阅读笔记