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                      5.  Ren, Shaoqing, et al. "Faster r-cnn: Towards real-time object detection with region pro-
                         posal networks." Advances in neural information processing systems 28 (2015).
                      6.  Liu, Wei, et al. "Ssd: Single shot multibox detector." European conference on computer
                         vision. Springer, Cham, 2016.
                      7.  Redmon, Joseph, and Ali Farhadi. "Yolov3: An incremental improvement." arXiv preprint
                         arXiv:1804.02767 (2018).
                      8.  He, Dafang, et al. "Multi-scale FCN with cascaded instance aware segmentation for arbi-
                         trary oriented word spotting in the wild." Proceedings of the IEEE conference on computer
                         vision and pattern recognition. 2017.
                      9.  Deng, Dan, et al. "Pixellink: Detecting scene text via instance segmentation." Proceedings
                         of the AAAI Conference on Artificial Intelligence. Vol. 32. No. 1. 2018.
                      10. Long, Shangbang, et al. "Textsnake: A flexible representation for detecting text of arbi-
                         trary shapes." Proceedings of the European conference on computer vision (ECCV). 2018.
                      11. Wang, Pengfei, et al. "A single-shot arbitrarily-shaped text detector based on context at-
                         tended  multi-task  learning."  Proceedings  of  the  27th  ACM  international  conference  on
                         multimedia. 2019.
                      12. Shi, Baoguang, Xiang Bai, and Cong Yao. "An end-to-end trainable neural network for
                         image-based  sequence  recognition  and  its  application  to  scene  text  recognition."  IEEE
                         transactions on pattern analysis and machine intelligence 39.11 (2016): 2298-2304.
                      13. Liao, Minghui, et al. "Scene text recognition from two-dimensional perspective." Proceed-
                         ings of the AAAI Conference on Artificial Intelligence. Vol. 33. No. 01. 2019.
                      14. Jaderberg, Max, et al. "Synthetic data and artificial neural networks for natural scene text
                         recognition." arXiv preprint arXiv:1406.2227 (2014).
                      15. Lee, Chen-Yu, and Simon Osindero. "Recursive recurrent nets with attention modeling for
                         ocr  in  the  wild."  Proceedings  of  the  IEEE  conference  on  computer  vision  and  pattern
                         recognition. 2016.
                      16. Yang, Mingkun, et al. "Symmetry-constrained rectification network for scene text recogni-
                         tion." Proceedings of the IEEE/CVF international conference on computer vision. 2019.
                      17. Liu, Wei, et al. "Star-net: a spatial attention residue network for scene text recognition."
                         BMVC. Vol. 2. 2016.
                      18. Shi,  Baoguang,  et  al.  "Robust  scene  text  recognition  with  automatic  rectification."  Pro-
                         ceedings of the IEEE conference on computer vision and pattern recognition. 2016.
                      19. Yu,  Deli,  et  al.  "Towards  accurate  scene  text  recognition  with  semantic  reasoning  net-
                         works."  Proceedings  of  the  IEEE/CVF  Conference  on  Computer  Vision  and  Pattern
                         Recognition. 2020.
                      20. Li, Chenxia, et al. "PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight
                         OCR System." arXiv preprint arXiv:2206.03001 (2022).
                      21. Nguyen,  Nguyen,  et  al.  "Dictionary-guided  scene  text  recognition."  Proceedings  of  the
                         IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.





















                     CITA 2023                                                   ISBN: 978-604-80-8083-9
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