NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition

K. Wang, B. Babenko, and S. Belongie, “End-to-end scene text recognition,” in Computer Vision (ICCV), 2011 IEEE International Conference on . IEEE, 2011, pp. 1457–1464

2011

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A. Mishra, K. Alahari, and C. Jawahar, “Scene text recognition using higher order language priors,” in BMVC 2012-23rd British Machine Vision Conference . BMVA, 2012

2012

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V. Goel, A. Mishra, K. Alahari, and C. Jawahar, “Whole is greater than sum of parts: Recognizing scene text words,” in Document Analysis and Recognition (ICDAR), 2013 12th International Conference on . IEEE, 2013, pp. 398–402

2013

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A. Bissacco, M. Cummins, Y. Netzer, and H. Neven, “Photoocr: Reading text in uncontrolled conditions,” in Computer Vision (ICCV), 2013 IEEE International Conference on . IEEE, 2013, pp. 785–792

2013

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O. Alsharif and J. Pineau, “End-to-end text recognition with hybrid hmm maxout models,” arXiv preprint arXiv:1310.1811 , 2013

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2013

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M. Jaderberg, K. Simonyan, A. Vedaldi, and A. Zisserman, “Synthetic data and artificial neural networks for natural scene text recognition,” arXiv preprint arXiv:1406.2227 , 2014

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2014

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C. Yao, X. Bai, B. Shi, and W. Liu, “Strokelets: A learned multi-scale representation for scene text recognition,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2014, pp. 4042–4049

2014

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B. Su and S. Lu, “Accurate scene text recognition based on recurrent neural network,” in Asian Conference on Computer Vision . Springer, 2014, pp. 35–48

2014

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B. Shi, X. Wang, P. Lyu, C. Yao, and X. Bai, “Robust scene text recognition with automatic rectification,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 4168–4176

2016

Cited alongside, same era.

C.-Y. Lee and S. Osindero, “Recursive recurrent nets with attention modeling for ocr in the wild,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 2231–2239

2016

Cited alongside, same era.

A. Gupta, A. Vedaldi, and A. Zisserman, “Synthetic data for text localisation in natural images,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 2315–2324

2016

Cited alongside, same era.

Z. Cheng, F. Bai, Y. Xu, G. Zheng, S. Pu, and S. Zhou, “Focusing attention: Towards accurate text recognition in natural images,” in 2017 IEEE International Conference on Computer Vision (ICCV) . IEEE, 2017, pp. 5086–5094

2017

Cited alongside, same era.

Y. Zhang, W. Chan, and N. Jaitly, “Very deep convolutional networks for end-to-end speech recognition,” in Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on . IEEE, 2017, pp. 4845–4849

2017

Later among the works it cites.

S. K. Ghosh, E. Valveny, and A. D. Bagdanov, “Visual attention models for scene text recognition,” arXiv preprint arXiv:1706.01487 , 2017

Original

2017

Later among the works it cites.

F. Bai, Z. Cheng, Y. Niu, S. Pu, and S. Zhou, “Edit probability for scene text recognition,” arXiv preprint:1805.03384 , 2018

2018

Closest in time.

Z. Cheng, Y. Xu, F. Bai, Y. Niu, S. Pu, and S. Zhou, “Aon: Towards arbitrarily-oriented text recognition,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018, pp. 5571–5579

2018

Closest in time.