《論文閱讀》Unsupervised Person Re-identification via Softened Similarity Learning
留個筆記自用 Unsupervised Person Re-identification via Softened Similarity Learning 做什麼 Person Re-identification行人重識別，給定一個查詢圖像（即源圖像），行人重識別的目標是在多個不重疊的攝像機之間匹配人（即找到與源圖像相同的人） 做了什麼 本文采用的是一種無監督的方法，不需要對訓練集內的任何圖像進行
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相關文章
- 1. 【論文閱讀】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
- 2. 論文閱讀:Unsupervised Deep Learning by Neighbourhood Discovery
- 3. 論文閱讀筆記：Unsupervised Feature Learning via Non-Parametric Instance Discrimination
- 4. 論文閱讀——Mockingjay: unsupervised speech representation learning
- 5. Unsupervised Learning of Edges 論文閱讀
- 6. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 7. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
- 8. 【論文1】Unsupervised Person Re-identification via Multi-label Classification
- 9. Unsupervised Person Re-identification via Multi-label Classification——準研究生論文週報
- 10. 粗讀CVPR2019 論文 Transfer Learning via Unsupervised Task Discovery for Visual Question Answering