Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition-Reference-Cited by-同舟云学术

Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition

Published:2022 Issue: Volume: Page:594-606
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Wang Yuqing^ORCID,Weng Zhenyu^ORCID,Zhou Zhaokun,Ji Shuaijian,Ye Zhongjie,Zhu Yuesheng^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-15937-4_50

Reference27 articles.

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3. Chen, X., Ma, L., Jiang, W., Yao, J., Liu, W.: Regularizing RNNs for caption generation by reconstructing the past with the present. In: CVPR, pp. 7995–8003 (2018)

4. Deng, Y., Kanervisto, A., Ling, J., Rush, A.M.: Image-to-markup generation with coarse-to-fine attention. In: ICML, pp. 980–989. PMLR (2017)

5. Fu, Y., Liu, T., Gao, M., Zhou, A.: EDSL: an encoder-decoder architecture with symbol-level features for printed mathematical expression recognition. arXiv preprint arXiv:2007.02517 (2020)

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