0%

(ICML 2014) Recurrent convolutional neural networks for scene labeling

Pinheiro P H O, Collobert R. Recurrent convolutional neural networks for scene labeling[C]//31st International Conference on Machine Learning (ICML). 2014 (EPFL-CONF-199822).



1. Overview


In this paper, it propose an approach

  • consist of a recurrent CNN
  • allow to consider a large input context while limiting the capacity of the model
  • as the context size increases with the built-in recurrence, the system identifies and corrects its own errors

1.1. Methods




  • In Figure 2. The input is a patch and output is the prediction of centerpixel
  • For the first time ,the feature is zero map