Unsupervised Person Re-identification by Deep Learning Tracklet Association
一、介绍 作者提出了一个序列联系无监督深度学习框架（Tracklet Association Unsupervised Deep Learning (TAUDL)）来解决无监督的行人再识别问题。作者的方法能够联合学习视野内部tracklet的联系以及视野间tracklet的联系，不需要任何额外标注。实验证明TAUDL在6个行人再识别数据集上超过了现有的无监督方法和迁移学习方法。 二、作者的方法
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相关文章
- 1. Chen et al. Deep Association Learning for Unsupervised Video Person Re-identification论文翻译
- 2. Machine learning(7): Unsupervised learning----ASSOCIATION RULES
- 3. Unsupervised Person Re-identification by Soft Multilabel Learning
- 4. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 5. Stepwise Metric Promotion for Unsupervised Video Person Re-identification
- 6. 论文阅读:Unsupervised Deep Learning by Neighbourhood Discovery
- 7. Unsupervised Learning: Deep Auto-encoder
- 8. 【Person Re-ID】Person Re-Identification by Deep Learning Multi-Scale Representations
- 9. CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-tempora
- 10. Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification