ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions

@article{Gao2018ChannelNetsCA,
  title={ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions},
  author={H. Gao and Zhengyang Wang and S. Ji},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  year={2018}
}
  • H. Gao, Zhengyang Wang, S. Ji
  • Published 2018
  • Computer Science, Medicine
  • IEEE transactions on pattern analysis and machine intelligence
  • Convolutional neural networks (CNNs) have shown great capability of solving various artificial intelligence tasks. [...] Key Method ChannelNets use three instances of channel-wise convolutions; namely group channel-wise convolutions, depth-wise separable channel-wise convolutions, and the convolutional classification layer. Compared to prior CNNs designed for mobile devices, ChannelNets achieve a significant reduction in terms of the number of parameters and computational cost without loss in accuracy. Notably…Expand Abstract
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