Aggregating Deep Convolutional Features for Image Retrieval阅读笔记
CVPR2016 图像检索论文阅读笔记 最经由于工作需要阅读了这篇论文 文中主要工作提出了SPoC机制 一、首先讨论了每层卷积层的特征和sift等特征的在图像检索的表征能力 作者采用conv5（VGG） 二、SPoC design 1、Sum pooling. 假设我们卷积出来的特征为B*C*H*W维的矩阵，首先在每个h*w的feature map 上进行求和 2、Centering prior.
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