Using FCOS and an Encoder-Decoder Model to Detect and Recognize Visual Mathematical Equations-Reference-Cited by-同舟云学术

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Using FCOS and an Encoder-Decoder Model to Detect and Recognize Visual Mathematical Equations

Published:2024-04-20 Issue: Volume:44 Page:44-51
ISSN:
Container-title:Proceedings of the 2024 9th International Conference on Multimedia and Image Processing
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Author:

Wheelwright Angel Jo¹^ORCID,Ng Yiu-Kai¹^ORCID

Affiliation:

1. Computer Science Dept.,BYU, Brigham Young University, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3665026.3665033

Reference30 articles.

1. Survey of Mathematical Expression Recognition for Printed and Handwritten Documents

2. S. Anand, S. Susan, S. Aggarwal, S. Aggarwal, and R. Singla. 2021. Scene Text Recognition in the Wild with Motion Deblurring Using Deep Networks. In Proceedings of the 5th International Conference on Computer Vision and Image Processing (CVIP). Springer, 93–103.

3. D. Anitei J. Sánchez J. Benedí and E. Noya. 2023. The IBEM Dataset: A Large Printed Scientific Image Dataset for Indexing and Searching Mathematical Expressions. Pattern Recognition Letters 172 (August 2023) 29–36. Issue C.

4. P. Chandra and S. Rath. 2022. FCOS- Anchor Free Object Detection Explained. https://learnopencv.com/fcos-anchor-free-object-detection-explained/.

5. W. Chu and F. Liu. 2013. Mathematical Formula Detection in Heterogeneous Document Images. In Proceedings of 2013 Conference on Technologies and Applications of Artificial Intelligence. IEEE, 140–145.

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