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Optical character recognition (OCR) technology has been widely used in various scenes, as shown in Figure 1.
PP-OCR: A practical ultra lightweight OCR system
Du, Y.; Li, C.; Guo, R.; Yin, X.; Liu, W.; Zhou, J.; Bai, Y.; Yu, Z.; Yang, Y.; Dang, Q.; et al. 2020 · 2009
Earlier work this paper cites.
ICDAR 2011 robust reading competition-challenge 1: reading text in born-digital images (web and email)
Karatzas, D.; Mestre, S. R.; Mas, J.; Nourbakhsh, F.; and Roy, P. P. 2011 · 2011
Earlier work this paper cites.
Detecting texts of arbitrary orientations in natural images
Yao, C.; Bai, X.; Liu, W.; Ma, Y.; and Tu, Z. 2012 · 2012
Earlier work this paper cites.
An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition
Shi, B.; Bai, X.; and Yao, C. 2016 · 2016
Earlier work this paper cites.
ICDAR2017 competition on reading chinese text in the wild (RCTW-17)
Shi, B.; Yao, C.; Liao, M.; Yang, M.; Xu, P.; Cui, L.; Belongie, S.; Lu, S.; and Bai, X. 2017 · 2017
Earlier work this paper cites.
Zhang, Y.; Xiang, T.; Hospedales, T. M.; and Lu, H. 2017 · 2017
Earlier work this paper cites.
ICPR 2018 contest on robust reading for multi-type web images (MTWI)
He, M.; and Yang, Z. 2018 · 2018
Earlier work this paper cites.
Multi-oriented and multi-lingual scene text detection with direct regression
He, W.; Zhang, X.-Y.; Yin, F.; and Liu, C.-L. 2018 · 2018
Earlier work this paper cites.
Squeeze-and-excitation networks
Hu, J.; Shen, L.; and Sun, G. 2018 · 2018
Cited alongside, same era.
Path aggregation network for instance segmentation
Liu, S.; Qi, L.; Qin, H.; Shi, J.; and Jia, J. 2018 · 2018
Cited alongside, same era.
Generate text images for training deep learning ocr model
Sanster. 2018 · 2018
Cited alongside, same era.
Towards end-to-end license plate detection and recognition: A large dataset and baseline
Xu, Z.; Yang, W.; Meng, A.; Lu, N.; Huang, H.; Ying, C.; and Huang, L. 2018 · 2018
Cited alongside, same era.
Zhang, Y.; Xiang, T.; Hospedales, T. M.; and Lu, H. 2018 · 2018
Cited alongside, same era.
Icdar2019 competition on scanned receipt ocr and information extraction
Huang, Z.; Chen, K.; He, J.; Bai, X.; Karatzas, D.; Lu, S.; and Jawahar, C. 2019 · 2019
GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition
Hu, W.; Cai, X.; Hou, J.; Yi, S.; and Lin, Z. 2020 · 2020
Later among the works it cites.
Real-Time Scene Text Detection with Differentiable Binarization
Liao, M.; Wan, Z.; Yao, C.; Chen, K.; and Bai, X. 2020 · 2020
Later among the works it cites.
What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels
Baek, J.; Matsui, Y.; and Aizawa, K. 2021 · 2021
Later among the works it cites.
PP-LCNet: A Lightweight CPU Convolutional Neural Network
Cui, C.; Gao, T.; Wei, S.; Du, Y.; Guo, R.; Dong, S.; Lu, B.; Zhou, Y.; Lv, X.; Liu, Q.; Hu, X.; Yu, D.; and Ma, Y. 2021 · 2021
Later among the works it cites.
PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System
Du, Y.; Li, C.; Guo, R.; Cui, C.; Liu, W.; Zhou, J.; Lu, B.; Yang, Y.; Liu, Q.; Hu, X.; et al. 2021 · 2021
Later among the works it cites.
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Cited alongside, same era.
ICDAR2019 robust reading challenge on multi-lingual scene text detection and recognition—RRC-MLT-2019
Nayef, N.; Patel, Y.; Busta, M.; Chowdhury, P. N.; Karatzas, D.; Khlif, W.; Matas, J.; Pal, U.; Burie, J.-C.; Liu, C.-l.; et al. 2019 · 2019
Cited alongside, same era.
Chinese street view text: Large-scale chinese text reading with partially supervised learning
Sun, Y.; Liu, J.; Liu, W.; Han, J.; Ding, E.; and Liu, J. 2019 · 2019
Cited alongside, same era.
SVTR: Scene Text Recognition with a Single Visual Model
Du, Y.; Chen, Z.; Jia, C.; Yin, X.; Zheng, T.; Li, C.; Du, Y.; and Jiang, Y.-G. 2022 · 2022
Closest in time.
Context-based Contrastive Learning for Scene Text Recognition
Zhang, X.; Zhu, B.; Yao, X.; Sun, Q.; Li, R.; and Yu, B. 2022 · 2022
Closest in time.