Answer sheet layout analysis based on YOLOv5s-DC and MSER
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-023-03156-7.pdf
Reference35 articles.
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3. Zhang, J., Du, J., Dai, L.: Track, attend, and parse (tap): an end-to-end framework for online handwritten mathematical expression recognition. IEEE Trans. Multimed. (2019). https://doi.org/10.1109/TMM.2018.2844689
4. Truong, T.N., Nguyen, C.T., Phan, K.M., Nakagawa, M.: Improvement of end-to-end offline handwritten mathematical expression recognition by weakly supervised learning, vol. 2020 (2020). https://doi.org/10.1109/ICFHR2020.2020.00042
5. Young, T., Hazarika, D., Poria, S., Cambria, E.: Recent trends in deep learning based natural language processing [review article]. IEEE Comput. Intell. Mag. (2018). https://doi.org/10.1109/MCI.2018.2840738
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