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Scene text recognition has received increased attention in the research community.
Icdar 2003 robust reading competitions: entries, results, and future directions
S. M. Lucas, A. Panaretos, L. Sosa, A. Tang, S. Wong, R. Young, K. Ashida, H. Nagai, M. Okamoto, H. Yamamoto, et al · 2005
Earlier work this paper cites.
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber · 2006
Earlier work this paper cites.
End-to-end scene text recognition
K. Wang, B. Babenko, and S. Belongie · 2011
Earlier work this paper cites.
Top-down and bottom-up cues for scene text recognition
A. Mishra, K. Alahari, and C. Jawahar · 2012
Earlier work this paper cites.
End-to-end text recognition with convolutional neural networks
T. Wang, D. J. Wu, A. Coates, and A. Y. Ng · 2012
Earlier work this paper cites.
Adadelta: an adaptive learning rate method
M. D. Zeiler · 2012
Earlier work this paper cites.
Photoocr: Reading text in uncontrolled conditions
A. Bissacco, M. Cummins, Y. Netzer, and H. Neven · 2013
Earlier work this paper cites.
Icdar 2013 robust reading competition
D. Karatzas, F. Shafait, S. Uchida, M. Iwamura, L. G. i Bigorda, S. R. Mestre, J. Mas, D. F. Mota, J. A. Almazan, and L. P. De Las Heras · 2013
Earlier work this paper cites.
Recognizing text with perspective distortion in natural scenes
T. Quy Phan, P. Shivakumara, S. Tian, and C. Lim Tan · 2013
Earlier work this paper cites.
Word spotting and recognition with embedded attributes
J. Almazán, A. Gordo, A. Fornés, and E. Valveny · 2014
Earlier work this paper cites.
Deep structured output learning for unconstrained text recognition
M. Jaderberg, K. Simonyan, A. Vedaldi, and A. Zisserman · 2014
Earlier work this paper cites.
Synthetic data and artificial neural networks for natural scene text recognition
M. Jaderberg, K. Simonyan, A. Vedaldi, and A. Zisserman · 2014
Earlier work this paper cites.
Deep features for text spotting
M. Jaderberg, A. Vedaldi, and A. Zisserman · 2014
Cited alongside, same era.
A robust arbitrary text detection system for natural scene images
A. Risnumawan, P. Shivakumara, C. S. Chan, and C. L. Tan · 2014
Cited alongside, same era.
Strokelets: A learned multi-scale representation for scene text recognition
C. Yao, X. Bai, B. Shi, and W. Liu · 2014
Cited alongside, same era.
Supervised mid-level features for word image representation
A. Gordo · 2015
Cited alongside, same era.
Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, et al · 2015
Cited alongside, same era.
Icdar 2015 competition on robust reading
D. Karatzas, L. Gomez-Bigorda, A. Nicolaou, S. Ghosh, A. Bagdanov, M. Iwamura, J. Matas, L. Neumann, V. R. Chandrasekhar, S. Lu, et al · 2015
Cited alongside, same era.
Focusing attention: Towards accurate text recognition in natural images
Z. Cheng, F. Bai, Y. Xu, G. Zheng, S. Pu, and S. Zhou · 2017
Later among the works it cites.
Arbitrarily-oriented text recognition
Z. Cheng, X. Liu, F. Bai, Y. Niu, S. Pu, and S. Zhou · 2017
Later among the works it cites.
Total-text: A comprehensive dataset for scene text detection and recognition
C. K. Ch’ng and C. S. Chan · 2017
Later among the works it cites.
Introduction to pytorch
N. Ketkar · 2017
Later among the works it cites.
An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition
B. Shi, X. Bai, and C. Yao · 2017
Later among the works it cites.
Gated recurrent convolution neural network for ocr
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Label embedding: A frugal baseline for text recognition
J. A. Rodriguez-Serrano, A. Gordo, and F. Perronnin · 2015
Cited alongside, same era.
Synthetic data for text localisation in natural images
A. Gupta, A. Vedaldi, and A. Zisserman · 2016
Cited alongside, same era.
Reading scene text in deep convolutional sequences
P. He, W. Huang, Y. Qiao, C. C. Loy, and X. Tang · 2016
Cited alongside, same era.
Reading text in the wild with convolutional neural networks
M. Jaderberg, K. Simonyan, A. Vedaldi, and A. Zisserman · 2016
Cited alongside, same era.
Recursive recurrent nets with attention modeling for ocr in the wild
C.-Y. Lee and S. Osindero · 2016
Cited alongside, same era.
Robust scene text recognition with automatic rectification
B. Shi, X. Wang, P. Lyu, C. Yao, and X. Bai · 2016
Cited alongside, same era.
J. Wang and X. Hu · 2017
Later among the works it cites.
Learning to read irregular text with attention mechanisms
X. Yang, D. He, Z. Zhou, D. Kifer, and C. L. Giles · 2017
Later among the works it cites.
Edit probability for scene text recognition
F. Bai, Z. Cheng, Y. Niu, S. Pu, and S. Zhou · 2018
Closest in time.
Char-net: A character-aware neural network for distorted scene text recognition
W. Liu, C. Chen, and K.-Y. K. Wong · 2018
Closest in time.
Squeezedtext: A real-time scene text recognition by binary convolutional encoder-decoder network
Z. Liu, Y. Li, F. Ren, W. L. Goh, and H. Yu · 2018
Closest in time.
Aster: an attentional scene text recognizer with flexible rectification
B. Shi, M. Yang, X. Wang, P. Lyu, C. Yao, and X. Bai · 2018
Closest in time.