Camera viewpoint learning for person re-identification
行人重識別之攝像頭視角 Camera viewpoint learning for person re-identification 這次分享一篇自己的文章，這篇文章針對了攝像頭視角的問題。 先來說一個行人重識別中本質而又容易被忽略的問題： 行人重識別是跨攝像頭檢索任務，也就是說，找到同一個攝像頭中的同一個人是沒有意義的。最終計算準確率的時候，會把rank序列中和query攝像頭視角相同且是同一個
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相關文章
- 1. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 2. Dissecting Person Re-identification from the Viewpoint of Viewpoint
- 3. Learning Mid-level Filters for Person Re-identification（CVPR2014）
- 4. Learning Context Graph for Person Search
- 5. 【ReID】【Skimming】Unsupervised Cross-Dataset Transfer Learning for Person Re-identification
- 6. SYSU-MM01的多模態Re-ID數據集 異構Heterogeneous person reidentification
- 7. 1610.Deep Learning Prototype Domains for Person Re-Identification-CUHK-SYSU-PRW 論文筆記
- 8. Stepwise Metric Promotion for Unsupervised Video Person Re-identification
- 9. DIVERSITY REGULARIZED METRIC LEARNING FOR PERSON RE-IDENTIFICATION（ICIP2016）
- 10. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification