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Watch, Attend and Parse for Handwritten Mathematical Expression Recognition
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README.md WAP clone 1 Feb 28, 2018

README.md

WAP

This repository contains the source code for WAP introduced in the following papers:

Here, VGG contains the code that employs VGG architecture as the watcher, DenseNet contains the code that employs DenseNet as the watcher.

Requirements

Citation

If you find WAP useful in your research, please consider citing:

@article{zhang2017watch,
  title={Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition},
  author={Zhang, Jianshu and Du, Jun and Zhang, Shiliang and Liu, Dan and Hu, Yulong and Hu, Jinshui and Wei, Si and Dai, Lirong},
  journal={Pattern Recognition},
  volume={71},
  pages={196--206},
  year={2017},
  publisher={Elsevier}
}

@article{zhang2018multi,
  title={Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition},
  author={Zhang, Jianshu and Du, Jun and Dai, Lirong},
  journal={arXiv preprint arXiv:1801.03530},
  year={2018}
}

Contact

xysszjs at mail.ustc.edu.cn
West campus of University of Science and Technology of China
Any discussions, suggestions and questions are welcome!

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