论文阅读 Deep Attentional Structured Representation Learning for Visual Recognition
Abstract 深度学习能够融合一些局部特征，但是在一定程度上忽略了很多的局部有判别力的特征，这个时候需要attention来帮忙，对于常见的结构表达BOW,VLAD也有了长足的发展，NetVLAD，和FisherNet,本文最后的优化采用了NetVLAD的优化方法，解耦了dictionary和descriptor之间的关系 所以本文就是NetVLAD+attention Architectur
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