Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition-Reference-Cited by-同舟云学术

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Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition

Published:2018-08 Issue: Volume: Page:
ISSN:
Container-title:2018 24th International Conference on Pattern Recognition (ICPR)
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Author:

Zhang Jianshu,Du Jun,Dai Lirong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8527858/8545020/08546031.pdf?arnumber=8546031

Cited by 106 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A unified representation framework for the evaluation of Optical Music Recognition systems;International Journal on Document Analysis and Recognition (IJDAR);2024-07-24

2. Character Relationship Refinement Network for Handwritten Mathematical Expression Recognition;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. DGNet: A Handwritten Mathematical Formula Recognition Network Based on Deformable Convolution and Global Context Attention;Mobile Networks and Applications;2024-05-10

4. SATD: syntax-aware handwritten mathematical expression recognition based on tree-structured transformer decoder;The Visual Computer;2024-05-03

5. Multimodal Dependence Attention and Large-Scale Data Based Offline Handwritten Formula Recognition;Journal of Computer Science and Technology;2024-05

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