Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning
在這篇論文中，作者提出了通過逐漸利用未標註樣本，來解決單標註樣本（one-shot）情況下的視頻行人重識別問題（video-based person re-ID）。這個方法簡單通用，在MARS和DukeMTMC兩個視頻行人重識別數據集上都達到了遠超 state-of-the art 的性能。 1. 論文概述 爲什麼需要關注單標註（one shot)樣本問題？ 目前大多行人重識別方法都依賴於完全的數
相關文章
- 1. 【EUG】Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learn
- 2. CVPR 2018 行人重識別：Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by S L
- 3. Stepwise Metric Promotion for Unsupervised Video Person Re-identification
- 4. 【FSR】Feature Space Regularization for Person Re-Identification with One Sample
- 5. Unsupervised Person Re-identification by Soft Multilabel Learning
- 6. Improving Person Re-identification by Attribute and Identity Learning
- 7. Unsupervised Person Re-identification by Deep Learning Tracklet Association
- 8. Person search: Joint Detection and Identification Feature Learning for Person Search筆記
- 9. 【Person Re-ID】Person Re-Identification by Deep Learning Multi-Scale Representations
- 10. OSCP Learning Notes - Exploit(6)
- 更多相關文章...
- • SQLite Indexed By - SQLite教程
- • SQLite Group By - SQLite教程
- • Java 8 Stream 教程
- • Java Agent入門實戰（一）-Instrumentation介紹與使用
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。
最新文章
- 1. Duang!超快Wi-Fi來襲
- 2. 機器學習-補充03 神經網絡之**函數(Activation Function)
- 3. git上開源maven項目部署 多module maven項目（多module maven+redis+tomcat+mysql）後臺部署流程學習記錄
- 4. ecliple-tomcat部署maven項目方式之一
- 5. eclipse新導入的項目經常可以看到「XX cannot be resolved to a type」的報錯信息
- 6. Spark RDD的依賴於DAG的工作原理
- 7. VMware安裝CentOS-8教程詳解
- 8. YDOOK：Java 項目 Spring 項目導入基本四大 jar 包 導入依賴，怎樣在 IDEA 的項目結構中導入 jar 包 導入依賴
- 9. 簡單方法使得putty（windows10上）可以免密登錄樹莓派
- 10. idea怎麼用本地maven
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 【EUG】Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learn
- 2. CVPR 2018 行人重識別：Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by S L
- 3. Stepwise Metric Promotion for Unsupervised Video Person Re-identification
- 4. 【FSR】Feature Space Regularization for Person Re-Identification with One Sample
- 5. Unsupervised Person Re-identification by Soft Multilabel Learning
- 6. Improving Person Re-identification by Attribute and Identity Learning
- 7. Unsupervised Person Re-identification by Deep Learning Tracklet Association
- 8. Person search: Joint Detection and Identification Feature Learning for Person Search筆記
- 9. 【Person Re-ID】Person Re-Identification by Deep Learning Multi-Scale Representations
- 10. OSCP Learning Notes - Exploit(6)