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} }
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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