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Document intelligence automates the extraction of information from documents and supports many business applications.
Multi-document summarization by sentence extraction
Jade Goldstein, Vibhu O Mittal, Jaime G Carbonell, and Mark Kantrowitz · 2000
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Building a test collection for complex document information processing
D. Lewis, G. Agam, S. Argamon, O. Frieder, D. Grossman, and J. Heard · 2006
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Tesseract: An open-source optical character recognition engine
Anthony Kay · 2007
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Product quantization for nearest neighbor search
Herve Jegou, Matthijs Douze, and Cordelia Schmid · 2010
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Evaluation of deep convolutional nets for document image classification and retrieval
Adam W Harley, Alex Ufkes, and Konstantinos G Derpanis · 2015
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Fast r-cnn
Ross Girshick · 2015
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Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy · 2016
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Neural discrete representation learning
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2017
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Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation
Daniel Cer, Mona Diab, Eneko Agirre, Inigo Lopez-Gazpio, and Lucia Specia · 2017
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Recent advances in convolutional neural networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, et al · 2018
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel R Bowman · 2018
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Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, William W Cohen, Jaime Carbonell, Quoc V Le, and Ruslan Salakhutdinov · 2019
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 2019
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Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
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Layoutlm: Pre-training of text and layout for document image understanding
Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, and Ming Zhou · 2020
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Self-supervised relationship probing
Jiuxiang Gu, Jason Kuen, Shafiq Joty, Jianfei Cai, Vlad Morariu, Handong Zhao, and Tong Sun · 2020
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Unicoder-vl: A universal encoder for vision and language by cross-modal pre-training
Gen Li, Nan Duan, Yuejian Fang, Daxin Jiang, and Ming Zhou · 2020
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Read: Recursive autoencoders for document layout generation
Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, and Hadar Averbuch-Elor · 2020
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Cord: A consolidated receipt dataset for post-ocr parsing
Seunghyun Park, Seung Shin, Bado Lee, Junyeop Lee, Jaeheung Surh, Minjoon Seo, and Hwalsuk Lee · 2019
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Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee · 2019
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Vl-bert: Pre-training of generic visual-linguistic representations
Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, and Jifeng Dai · 2019
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Similarity-preserving knowledge distillation
Frederick Tung and Greg Mori · 2019
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Funsd: A dataset for form understanding in noisy scanned documents
G. Jaume, H. Kemal Ekenel, and J. Thiran · 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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https://github.com/JaidedAI/EasyOCR , 2020
Easyocr · 2020
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wav2vec 2.0: A framework for self-supervised learning of speech representations
Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli · 2020
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Layoutlmv2: Multi-modal pre-training for visually-rich document understanding
Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Wanxiang Che, et al · 2021
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Selfdoc: Self-supervised document representation learning
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, and Hongfu Liu · 2021
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Going full-tilt boogie on document understanding with text-image-layout transformer
Rafał Powalski, Łukasz Borchmann, Dawid Jurkiewicz, Tomasz Dwojak, Michał Pietruszka, and Gabriela Pałka · 2021
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https://cloud.google.com/vision/docs/ocr , 2021
Google cloud vision ocr · 2021
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