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A Survey of Deep Learning Approaches for OCR and Document Understanding

A Survey of Deep Learning Approaches for OCR and Document Understanding

27 November 2020
Nishant Subramani
Alexandre Matton
Malcolm Greaves
Adrian Lam
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Papers citing "A Survey of Deep Learning Approaches for OCR and Document Understanding"

6 / 6 papers shown
Title
Reconstructing training data from document understanding models
Reconstructing training data from document understanding models
Jérémie Dentan
Arnaud Paran
A. Shabou
AAML
SyDa
41
1
0
05 Jun 2024
Towards Complex Document Understanding By Discrete Reasoning
Towards Complex Document Understanding By Discrete Reasoning
Fengbin Zhu
Wenqiang Lei
Fuli Feng
Chao Wang
Haozhou Zhang
Tat-Seng Chua
31
42
0
25 Jul 2022
Detection Masking for Improved OCR on Noisy Documents
Detection Masking for Improved OCR on Noisy Documents
Daniel Rotman
Ophir Azulai
Inbar Shapira
Yevgeny Burshtein
Udi Barzelay
38
4
0
17 May 2022
DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End
  Information Extraction
DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction
Freddy Chongtat Chua
Nigel P. Duffy
32
7
0
10 Mar 2021
CDeC-Net: Composite Deformable Cascade Network for Table Detection in
  Document Images
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
Madhav Agarwal
Ajoy Mondal
C. V. Jawahar
39
62
0
25 Aug 2020
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
Guillaume Jaume
H. K. Ekenel
Jean-Philippe Thiran
134
355
0
27 May 2019
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