SYSTEM AND METHOD FOR DESIGNING EFFICIENT SUPER RESOLUTION DEEP CONVOLUTIONAL NEURAL NETWORKS BY CASCADE NETWORK TRAINING, CASCADE NETWORK TRIMMING, AND DILATED CONVOLUTIONS

摘要

Apparatuses and methods of manufacturing same, systems, and methods are described. In one aspect, a method includes generating a convolutional neural network (CNN) by training a CNN having three or more convolutional layers, and performing cascade training on the trained CNN. The cascade training includes an iterative process of one or more stages, in which each stage includes inserting a residual block (ResBlock) including at least two additional convolutional layers and training the CNN with the inserted ResBlock.