Deep Structured Output Learning for Unconstrained Text Recognition

Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

Type: Preprint

Publication Date: 2014-01-01

Citations: 72

DOI: https://doi.org/10.48550/arxiv.1412.5903

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arXiv (Cornell University) - View
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+	Scaling Matters in Deep Structured-Prediction Models	2019	Александр Григорьевич Шевченко Anton Osokin
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+	2D-CTC for Scene Text Recognition	2019	Zhaoyi Wan Fengming Xie Yibo Liu Xiang Bai Cong Yao
+	Focus-Enhanced Scene Text Recognition with Deformable Convolutions	2019	Linjie Deng Yanxiang Gong Xinchen Lu Xin Yi Zheng Ma Mei Xie
+	Bidirectional Scene Text Recognition with a Single Decoder	2019	Maurits Bleeker Maarten de Rijke
+	Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data	2016	Xinghua Lou Ken Kansky Wolfgang Lehrach CC Laan Bhaskara Marthi D. Scott Phoenix Dileep George
+	Structured Attention Networks	2017	Yoon Kim Carl Denton Luong Hoang Alexander M. Rush
+	Reading Scene Text with Attention Convolutional Sequence Modeling	2017	Yunze Gao Yingying Chen Jinqiao Wang Hanqing Lu

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+	End-to-End Text Recognition with Hybrid HMM Maxout Models	2013	Ouais Alsharif Joëlle Pineau
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov
+	Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation	2014	Jonathan Tompson Arjun Jain Yann LeCun Christoph Bregler
+	Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks	2013	Ian Goodfellow Yaroslav Bulatov Julian Ibarz Sacha Arnoud Vinay Shet