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We introduce a novel type of text representation that preserves the 2D layout of a document.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. 1998 · 1998
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Offline handwriting recognition with multidimensional recurrent neural networks
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. 2012 · 2012
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Multi-digit number recognition from street view imagery using deep convolutional neural networks
Ian J. Goodfellow, Yaroslav Bulatov, Julian Ibarz, Sacha Arnoud, and Vinay D. Shet. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gülcehre, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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Saurabh Gupta, Ross Girshick, Pablo Arbeláez, and Jitendra Malik. 2014 · 2014
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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman. 2014 · 2014
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Page segmentation of historical document images with convolutional autoencoders
K. Chen, M. Seuret, M. Liwicki, J. Hennebert, and R. Ingold. 2015 · 2015
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Multilingual language processing from bytes
Dan Gillick, Cliff Brunk, Oriol Vinyals, and Amarnag Subramanya. 2015 · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015 · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy. 2015 · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015 · 2015
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Learning to refine object segments
Pedro O Pinheiro, Tsung-Yi Lin, Ronan Collobert, and Piotr Dollár. 2016 · 2016
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Multi-scale context aggregation by dilated convolutions
Fisher Yu and Vladlen Koltun. 2016 · 2016
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla. 2017 · 2017
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Real-time document localization in natural images by recursive application of a cnn
K. Javed and F. Shafait. 2018 · 2017
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Focal loss for dense object detection
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Cloudscan-a configuration-free invoice analysis system using recurrent neural networks
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Alexander M. Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
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Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, and Christoph Bregler. 2015 · 2015
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
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Enet: A deep neural network architecture for real-time semantic segmentation
Adam Paszke, Abhishek Chaurasia, Sangpil Kim, and Eugenio Culurciello. 2016 · 2016
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015a
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Faster R-CNN: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross B. Girshick, and Jian Sun. 2015b
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Tesseract. v4 https://github.com/tesseract-ocr/tesseract
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Rasmus Berg Palm, Ole Winther, and Florian Laws. 2017 · 2017
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Minimum word error rate training for attention-based sequence-to-sequence models
Rohit Prabhavalkar, Tara N Sainath, Yonghui Wu, Patrick Nguyen, Zhifeng Chen, Chung-Cheng Chiu, and Anjuli Kannan. 2017 · 2017
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Document image binarization with fully convolutional neural networks
Chris Tensmeyer and Tony Martinez. 2017 · 2017
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Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, and C Lee Giles. 2017 · 2017
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