Bi-directional Interaction Network for Person Search
引言 該篇是發表於CVPR2020年的一篇文章，注意到，在CVPR2020被錄用的文章中，研究行人查找方向的所有文章均是中國人。 文章設計的網絡結構比較簡單，只是在通用的端到端模型上加了一個分支用於與端到端分支中重識別部分共享參數。文章實驗結果更適用於PRW數據集。該篇文章認爲： 目前存在的問題：檢測網絡和重識別網絡共享backbone時，由於感受野的原因，行人特徵圖包含了許多邊框外的信息因此不利
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相關文章
- 1. 【person search】Re-ID Driven Localization Refinement for Person Search
- 2. CVPR2019-行人重識別-Interaction-and-Aggregation Network for Person Re-identification
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- 4. Learning Context Graph for Person Search
- 5. Harmonious Attention Network for Person Re-Identification
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- 8. 1705.IAN- The Individual Aggregation Network for Person Search 論文閱讀筆記
- 9. Collaborative Attention Network for Person Re-identification
- 10. 2019CVPR之ReID：Interaction-and-Aggregation Network for Person Re-identification