Corpus ID: 6470548

What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks

@article{Gallagher2015WhatHT,
  title={What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks},
  author={P. W. Gallagher and Shuai Tang and Zhuowen Tu},
  journal={ArXiv},
  year={2015},
  volume={abs/1511.07125}
}
  • P. W. Gallagher, Shuai Tang, Zhuowen Tu
  • Published 2015
  • Computer Science, Mathematics
  • ArXiv
  • Top-down information plays a central role in human perception, but plays relatively little role in many current state-of-the-art deep networks, such as Convolutional Neural Networks (CNNs). This work seeks to explore a path by which top-down information can have a direct impact within current deep networks. We explore this path by learning and using "generators" corresponding to the network internal effects of three types of transformation (each a restriction of a general affine transformation… CONTINUE READING
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