ReID简记-3-3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-id
创新点 1.基于视频的行人ReID方法：3D Person VLAD aggregation 2.阐述了时空注意力的优势和VLAD aggregation 的重要性 总结 网络结构如图所示，输入时确定长度的视频。 最主要的是接下来的部分。 3D身体校准网络如下： 此部分包含B个分支，每个分支估计一个注意力图。通过这个注意力图，可以平衡3D卷积特征。B个分支的输入都是相同的。每个分支检测一个有分辨性
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相关文章
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