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IMAGE PROCESSING NEURAL NETWORKS WITH DYNAMIC FILTER ACTIVATION
IMAGE PROCESSING NEURAL NETWORKS WITH DYNAMIC FILTER ACTIVATION
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机译:图像处理具有动态滤波激活的神经网络
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摘要
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing images using neural networks. One of the methods includes receiving a network input; processing the network input through a gater neural network to generate a gating vector that includes a respective value for each of a plurality of filters; determining, from the gating vector and for each of the plurality of filters, whether the filter is active or inactive; and processing the network input through the main convolutional neural network to generate an image processing output, comprising, for each convolutional layer in the first plurality of convolutional layers: receiving an input feature map for the convolutional layer; and generating an output feature map, the generating comprising: for each filter of the convolutional layer that is inactive: setting the output channel for the filter to have all zero elements.
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