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Status: Unchecked ×Keyword: compact convolutional neural networks ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion

   Lin, Chen, Chao and Ji · arXiv (Cornell University) · 2021

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   1. Unchecked“For example, our DCFF derives a compact VGGNet-16 with only 72.77M FLOPs and 1.06M parameters while reaching top-1 accuracy of 93.47% on CIFAR-10.”