Unsupervised Person Re-identification via Multi-label Classification——準研究生論文週報
1 標題 Unsupervised Person Re-identification via Multi-label Classification 來源：CVPR 2020 日期：06月16日 週二 2 概述 本文提出了一種基於多標籤分類的無監督(unsupervised)行人重識別方法，將無標籤的REID任務變爲多分類問題，從而找到圖像真正標籤。和之前的無監督方法不同，本文提出的方法使
相關文章
- 1. Person Re-Identification by Deep Joint Learning of Multi-Loss Classification——準研究生論文週報
- 2. 【論文1】Unsupervised Person Re-identification via Multi-label Classification
- 3. Unsupervised Person Re-identification via Multi-label Classification
- 4. Deep Learning for Person Re-identification: A Survey and Outlook——準研究生論文週報
- 5. Infrared-Visible Cross-Modal Person Re-Identification with an X Modality——準研究生論文週報
- 6. 【論文筆記】Unsupervised Person Re-identification by Soft Multilabel Learning
- 7. Unsupervised Person Re-identification by Soft Multilabel Learning
- 8. 《論文閱讀》Unsupervised Person Re-identification via Softened Similarity Learning
- 9. CVPR2019行人重識別論文筆記1903.06325：Unsupervised Person Re-identification by Soft Multilabel Learning
- 10. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 更多相關文章...
- • Rust 生命週期 - RUST 教程
- • SVN 生命週期 - SVN 教程
- • 使用Rxjava計算圓周率
- • Scala 中文亂碼解決
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Person Re-Identification by Deep Joint Learning of Multi-Loss Classification——準研究生論文週報
- 2. 【論文1】Unsupervised Person Re-identification via Multi-label Classification
- 3. Unsupervised Person Re-identification via Multi-label Classification
- 4. Deep Learning for Person Re-identification: A Survey and Outlook——準研究生論文週報
- 5. Infrared-Visible Cross-Modal Person Re-Identification with an X Modality——準研究生論文週報
- 6. 【論文筆記】Unsupervised Person Re-identification by Soft Multilabel Learning
- 7. Unsupervised Person Re-identification by Soft Multilabel Learning
- 8. 《論文閱讀》Unsupervised Person Re-identification via Softened Similarity Learning
- 9. CVPR2019行人重識別論文筆記1903.06325：Unsupervised Person Re-identification by Soft Multilabel Learning
- 10. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記