Clustering Convolutional Kernels to Compress Deep Neural Networks

In this paper, we propose a novel method to compress CNNs by reconstructing the network from a small set of spatial convolution kernels. Starting from a pre-trained model, we extract representative 2D kernel centroids using k-means clustering... (read more)

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Convolution
Convolutions