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Deep convolutional neural networks (CNN) have demonstrated superior performance in image super-resolution (SR) problem.However, CNNs are known to be heavily over-parameterized, and suffer from abundant redundancy. The growing size ofCNNs may be incompatib
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Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning
Deep convolutional neural networks (CNN) have demonstrated superior performance in image super-resolution (SR) problem.However, CNNs are known to be heavily over-parameterized, and suffer from abundant redundancy. The growing size ofCNNs may be incompatib