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VTLayout: Fusion of Visual and Text Features for Document Layout
  Analysis

VTLayout: Fusion of Visual and Text Features for Document Layout Analysis

12 August 2021
Shoubin Li
Xuyan Ma
Shuaiqun Pan
Jun Hu
Lin Shi
Qing Wang
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Papers citing "VTLayout: Fusion of Visual and Text Features for Document Layout Analysis"

4 / 4 papers shown
Title
Transformers and Language Models in Form Understanding: A Comprehensive
  Review of Scanned Document Analysis
Transformers and Language Models in Form Understanding: A Comprehensive Review of Scanned Document Analysis
Abdelrahman Abdallah
Daniel Eberharter
Zoe Pfister
Adam Jatowt
40
12
0
06 Mar 2024
AutoIE: An Automated Framework for Information Extraction from
  Scientific Literature
AutoIE: An Automated Framework for Information Extraction from Scientific Literature
Yangyang Liu
Shoubin Li
23
2
0
30 Jan 2024
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis
B. Pfitzmann
Christoph Auer
Michele Dolfi
A. Nassar
Peter W. J. Staar
24
85
0
02 Jun 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,572
0
17 Apr 2017
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