Truncating Wide Networks Using Binary Tree Architectures

@article{Zhang2017TruncatingWN,
  title={Truncating Wide Networks Using Binary Tree Architectures},
  author={Yan Zhang and Mete Ozay and Shuohao Li and Takayuki Okatani},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={2116-2124}
}
  • Yan Zhang, Mete Ozay, +1 author Takayuki Okatani
  • Published 2017
  • Computer Science
  • 2017 IEEE International Conference on Computer Vision (ICCV)
  • In this paper, we propose a binary tree architecture to truncate architecture of wide networks by reducing the width of the networks. More precisely, in the proposed architecture, the width is incrementally reduced from lower layers to higher layers in order to increase the expressive capacity of networks with a less increase on parameter size. Also, in order to ease the gradient vanishing problem, features obtained at different layers are concatenated to form the output of our architecture. By… CONTINUE READING
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