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Several recent works interpret convolutional features produced by deep convolutional neural networks as local descriptors. Existing high-dimensional aggregation based methods, e.g., Fisher Vector (FV) obtain inferior performance to pooling based methods in most situations, and we observe that it is mainly caused by the ignorance of spatial weights. In this paper, we propose a novel method named spatial...
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