7 citations · 14 across the 5 of their papers we have counts for
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cs.CV2016★ 5 cited
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data
Xinghua Lou, Ken Kansky, Wolfgang Lehrach +4
We demonstrate that a generative model for object shapes can achieve state of the art results on challenging scene text recognition tasks, and with orders of magnitude fewer traini…
cs.CV2016
A backward pass through a CNN using a generative model of its activations
Huayan Wang, Anna Chen, Yi Liu +2
Neural networks have shown to be a practical way of building a very complex mapping between a pre-specified input space and output space. For example, a convolutional neural networ…