Research on Multi-scale Printed Formula Recognition Methods-Reference-Cited by-同舟云学术

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Research on Multi-scale Printed Formula Recognition Methods

Published:2024-06-28 Issue: Volume:1 Page:82-88
ISSN:
Container-title:Proceedings of the 2024 International Conference on Advanced Robotics, Automation Engineering and Machine Learning
language:
Short-container-title:

Author:

Xu Xiaoyun¹^ORCID,Chen Yuehui²^ORCID,Cao Yi³^ORCID,Zhao Yaou²^ORCID

Affiliation:

1. School of Information Science and Engineering, University of Jinan, China

2. Artificial Intelligence Institute (School of Information Science & Engineering), University of Jinan, China

3. Shandong Provincial Key Laboratory of Network Based Intelligent Computing (School of Information Science & Engineering), University of Jinan, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3677454.3677468

Reference14 articles.

1. Learning fine-grained image representations for mathematical expression recognition. In: International Conference on Document Analysis and Recognition Workshops (ICDARW);Bender S.;IEEE,2019

2. Syntax-directed recognition of hand-printed two-dimensional mathematics

3. INFTY

4. Deng, Y., Kanervisto, A., Ling, J., Rush, A.M.: Image-to-markup generation with coarse-to-fine attention. In: International Conference on Machine Learning, PMLR, 980-989 (2017).

5. Image To Latex with DenseNet Encoder and Joint Attention

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