Bi-directional Interaction Network for Person Search
引言 该篇是发表于CVPR2020年的一篇文章，注意到，在CVPR2020被录用的文章中，研究行人查找方向的所有文章均是中国人。 文章设计的网络结构比较简单，只是在通用的端到端模型上加了一个分支用于与端到端分支中重识别部分共享参数。文章实验结果更适用于PRW数据集。该篇文章认为： 目前存在的问题：检测网络和重识别网络共享backbone时，由于感受野的原因，行人特征图包含了许多边框外的信息因此不利
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相关文章
- 1. 【person search】Re-ID Driven Localization Refinement for Person Search
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- 4. Learning Context Graph for Person Search
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