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Scene Text Recognition (STR) is the problem of recognizing the correct word or character sequence in a cropped word image.
ICDAR 2003 robust reading competitions
S. M. Lucas et al · 2003
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Imagenet: A large-scale hierarchical image database
J. Deng et al · 2009
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A novel connectionist system for unconstrained handwriting recognition
A. Graves et al · 2009
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Understanding the difficulty of training deep feedforward neural networks
X. Glorot and Y. Bengio · 2010
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Word spotting in the wild
K. Wang and S. Belongie · 2010
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A new gradient based character segmentation method for video text recognition
P. Shivakumara et al · 2011
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End-to-end scene text recognition
K. Wang et al · 2011
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Scene text recognition using higher order language priors
A. Mishra et al · 2012
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Adadelta: an adaptive learning rate method
M. D. Zeiler · 2012
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Photoocr: Reading text in uncontrolled conditions
A. Bissacco et al · 2013
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ICDAR 2013 robust reading competition
D. Karatzas et al · 2013
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Recognizing text with perspective distortion in natural scenes
T. Quy Phan et al · 2013
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Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio · 2014
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A robust arbitrary text detection system for natural scene images
A. Risnumawan et al · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Accurate scene text recognition based on recurrent neural network
B. Su and S. Lu · 2014
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ICDAR 2015 competition on robust reading
D. Karatzas et al · 2015
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Effective approaches to attention-based neural machine translation
M.-T. Luong et al · 2015
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Synthetic data for text localisation in natural images
A. Gupta, A. Vedaldi, and A. Zisserman · 2016
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Deep residual learning for image recognition
K. He et al · 2016
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Reading text in the wild with convolutional neural networks
M. Jaderberg et al · 2016
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L. Kaiser et al · 2017
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An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition
B. Shi et al · 2017
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Attention is all you need
A. Vaswani et al · 2017
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Learning to read irregular text with attention mechanisms
X. Yang, D. He, Z. Zhou, D. Kifer, and C. L. Giles · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin et al · 2018
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Sharp nearby, fuzzy far away: How neural language models use context
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Recursive recurrent nets with attention modeling for ocr in the wild
C.-Y. Lee and S. Osindero · 2016
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STAR-Net: a spatial attention residue network for scene text recognition
W. Liu et al · 2016
Cited alongside, same era.
Robust scene text recognition with automatic rectification
B. Shi et al · 2016
Cited alongside, same era.
Coco-text: Dataset and benchmark for text detection and recognition in natural images
A. Veit et al · 2016
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Scene text detection and recognition: Recent advances and future trends
Y. Zhu et al · 2016
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Focusing attention: Towards accurate text recognition in natural images
Z. Cheng et al · 2017
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U. Khandelwal et al · 2018
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NRTR: A no-recurrence sequence-to-sequence model for scene text recognition
F. Sheng et al · 2018
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Aster: An attentional scene text recognizer with flexible rectification
B. Shi et al · 2018
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Esir: End-to-end scene text recognition via iterative image rectification
F. Zhan and S. Lu · 2018
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Asynchronous bidirectional decoding for neural machine translation
X. Zhang et al · 2018
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What is wrong with scene text recognition model comparisons? dataset and model analysis
J. Baek et al · 2019
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Language models are unsupervised multitask learners
A. Radford et al · 2019
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Symmetry-constrained rectification network for scene text recognition
M. Yang, Y. Guan, M. Liao, X. He, K. Bian, S. Bai, C. Yao, and X. Bai · 2019
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Synchronous bidirectional neural machine translation
L. Zhou et al · 2019
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