Are Multidimensional Recurrent Layers Really Necessary for Handwritten Text Recognition?

@article{Puigcerver2017AreMR,
  title={Are Multidimensional Recurrent Layers Really Necessary for Handwritten Text Recognition?},
  author={Joan Puigcerver},
  journal={2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)},
  year={2017},
  volume={01},
  pages={67-72}
}
Current state-of-the-art approaches to offline Handwritten Text Recognition extensively rely on Multidimensional Long Short-Term Memory networks. However, these architectures come with quite an expensive computational cost, and we observe that they extract features visually similar to those of convolutional layers, which are computationally cheaper. This suggests that the two-dimensional long-term dependencies, which are potentially modeled by multidimensional recurrent layers, may not be… CONTINUE READING