Sparse Convolutional Neural Networks
convolutional kernel parameters of the network in [14] with relatively small number of bases while keeping the drop of accuracy to less than 1%. In our Sparse Convolutional Neural Networks (SCNN) model, each sparse convolutional layer can be performed with a few convolution kernels followed by a sparse ma-trix multiplication.
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