Accelerating Very Deep Convolutional Networks for Classification and Detection

@article{Zhang2016AcceleratingVD,
  title={Accelerating Very Deep Convolutional Networks for Classification and Detection},
  author={Xiangyu Zhang and Jianhua Zou and Kaiming He and Jian Sun},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2016},
  volume={38},
  pages={1943-1955}
}
This paper aims to accelerate the test-time computation of convolutional neural networks (CNNs), especially very deep CNNs <xref ref-type="bibr" rid="ref1">[1]</xref> that have substantially impacted the computer vision community. Unlike previous methods that are designed for approximating linear filters or linear responses, our method takes the nonlinear units into account. We develop an effective solution to the resulting nonlinear optimization problem without the need of stochastic gradient… CONTINUE READING
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