Multipartite Pooling for Deep Convolutional Neural Networks

20 Oct 2017Arash ShahriariFatih Porikli

We propose a novel pooling strategy that learns how to adaptively rank deep convolutional features for selecting more informative representations. To this end, we exploit discriminative analysis to project the features onto a space spanned by the number of classes in the dataset under study... (read more)

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