論文閱讀 Deep Attentional Structured Representation Learning for Visual Recognition
Abstract 深度學習能夠融合一些局部特徵，但是在一定程度上忽略了很多的局部有判別力的特徵，這個時候需要attention來幫忙，對於常見的結構表達BOW,VLAD也有了長足的發展，NetVLAD，和FisherNet,本文最後的優化採用了NetVLAD的優化方法，解耦了dictionary和descriptor之間的關係 所以本文就是NetVLAD+attention Architectur
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