Unsupervised Person Re-identification by Deep Learning Tracklet Association
一、介紹 作者提出了一個序列聯繫無監督深度學習框架（Tracklet Association Unsupervised Deep Learning (TAUDL)）來解決無監督的行人再識別問題。作者的方法能夠聯合學習視野內部tracklet的聯繫以及視野間tracklet的聯繫，不需要任何額外標註。實驗證明TAUDL在6個行人再識別數據集上超過了現有的無監督方法和遷移學習方法。 二、作者的方法
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相關文章
- 1. Chen et al. Deep Association Learning for Unsupervised Video Person Re-identification論文翻譯
- 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 論文筆記
- 5. Stepwise Metric Promotion for Unsupervised Video Person Re-identification
- 6. 論文閱讀: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