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Filter Distribution Templates in Convolutional Networks for Image Classification Tasks
Neural network designers have reached progressive accuracy by increasing models depth, introducing new layer types and discovering new combinations of layers.
Towards Efficient Convolutional Network Models with Filter Distribution Templates
Increasing number of filters in deeper layers when feature maps are decreased is a widely adopted pattern in convolutional network design.
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