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The hungarian method for the assignment problem
Harold W Kuhn · 1955
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Medium-independent table detection
Jianying Hu, Ramanujan S Kashi, Daniel P Lopresti, and Gordon Wilfong · 1999
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A constraint-based approach to table structure derivation
Matthew Hurst · 2003
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Automatic table detection in document images
Basilios Gatos, Dimitrios Danatsas, Ioannis Pratikakis, and Stavros J Perantonis · 2005
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Table detection in heterogeneous documents
Faisal Shafait and Ray Smith · 2010
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Icdar 2013 table competition
Max Göbel, Tamir Hassan, Ermelinda Oro, and Giorgio Orsi · 2013
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Learning to detect tables in scanned document images using line information
Thotreingam Kasar, Philippine Barlas, Sebastien Adam, Clément Chatelain, and Thierry Paquet · 2013
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Babytalk: Understanding and generating simple image descriptions
Girish Kulkarni, Visruth Premraj, Vicente Ordonez, Sagnik Dhar, Siming Li, Yejin Choi, Alexander C. Berg, and Tamara L. Berg · 2013
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Recognition of Tables and Forms
Bertrand Couasnon and Aurelie Lemaitre · 2014
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Show and tell: A neural image caption generator
Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan · 2015
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Image captioning with semantic attention
Quanzeng You, Hailin Jin, Zhaowen Wang, Chen Fang, and Jiebo Luo · 2016
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollar, and Ross Girshick · 2017
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Deepdesrt: Deep learning for detection and structure recognition of tables in document images
Sebastian Schreiber, Stefan Agne, Ivo Wolf, Andreas Dengel, and Sheraz Ahmed · 2017
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Deepdesrt: Deep learning for detection and structure recognition of tables in document images
Sebastian Schreiber, Stefan Agne, Ivo Wolf, Andreas Dengel, and Sheraz Ahmed · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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Corpus conversion service: A machine learning platform to ingest documents at scale
Peter W J Staar, Michele Dolfi, Christoph Auer, and Costas Bekas · 2018
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Complicated table structure recognition
Zewen Chi, Heyan Huang, Heng-Da Xu, Houjin Yu, Wanxuan Yin, and Xian-Ling Mao · 2019
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ICDAR 2019 Competition on Table Detection and Recognition (cTDaR), Apr. 2019
Hervé Déjean, Jean-Luc Meunier, Liangcai Gao, Yilun Huang, Yu Fang, Florian Kleber, and Eva-Maria Lang · 2019
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Publaynet: Largest dataset ever for document layout analysis
Xu Zhong, Jianbin Tang, and Antonio Jimeno Yepes · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Cascadetabnet: An approach for end to end table detection and structure recognition from image-based documents
Devashish Prasad, Ayan Gadpal, Kshitij Kapadni, Manish Visave, and Kavita Sultanpure · 2020
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Image-based table recognition: Data, model, and evaluation
Xu Zhong, Elaheh ShafieiBavani, and Antonio Jimeno Yepes · 2020
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Castabdetectors: Cascade network for table detection in document images with recursive feature pyramid and switchable atrous convolution
Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, and Muhammad Zeshan Afzal · 2021
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Tablebank: A benchmark dataset for table detection and recognition, 2019
Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, and Zhoujun Li · 2019
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Tablenet: Deep learning model for end-to-end table detection and tabular data extraction from scanned document images
Shubham Singh Paliwal, D Vishwanath, Rohit Rahul, Monika Sharma, and Lovekesh Vig · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Rethinking table recognition using graph neural networks
Shah Rukh Qasim, Hassan Mahmood, and Faisal Shafait · 2019
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Generalized intersection over union: A metric and a loss for bounding box regression
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Deeptabstr: Deep learning based table structure recognition
Shoaib Ahmed Siddiqui, Imran Ali Fateh, Syed Tahseen Raza Rizvi, Andreas Dengel, and Sheraz Ahmed · 2019
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Res2tim: reconstruct syntactic structures from table images
Wenyuan Xue, Qingyong Li, and Dacheng Tao · 2019
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Yelin He, X. Qi, Jiaquan Ye, Peng Gao, Yihao Chen, Bingcong Li, Xin Tang, and Rong Xiao · 2021
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Icdar 2021 competition on scientific table image recognition to latex, 2021
Pratik Kayal, Mrinal Anand, Harsh Desai, and Mayank Singh · 2021
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Gfte: Graph-based financial table extraction
Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, and Xianhui Liu · 2021
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Robust pdf document conversion using recurrent neural networks
Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed Nassar, Andre Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, and Peter Staar · 2021
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Parsing table structures in the wild
Rujiao Long, Wen Wang, Nan Xue, Feiyu Gao, Zhibo Yang, Yongpan Wang, and Gui-Song Xia · 2021
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Tgrnet: A table graph reconstruction network for table structure recognition
Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, and Qingyong Li · 2021
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Global table extractor (gte): A framework for joint table identification and cell structure recognition using visual context
Xinyi Zheng, Doug Burdick, Lucian Popa, Peter Zhong, and Nancy Xin Ru Wang · 2021
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