Cross-domain document layout analysis using document style guide-Reference-Cited by-同舟云学术

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Cross-domain document layout analysis using document style guide

Published:2024-07 Issue: Volume:245 Page:123039
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wu Xingjiao^ORCID,Xiao Luwei,Du Xiangcheng,Zheng Yingbin,Li Xin,Ma Tianlong,Jin Cheng,He Liang

Funder

Science and Technology Commission of Shanghai Municipality

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference48 articles.

1. Blind document image quality prediction based on modification of quality aware clustering method integrating a patch selection strategy;Alaei;Expert Systems with Applications,2018

2. Arroyo, D. M., Postels, J., & Tombari, F. (2021). Variational Transformer Networks for Layout Generation. In IEEE/CVF Computer vision and pattern recognition conference (pp. 13642–13652).

3. Augusto Borges Oliveira, D., & Palhares Viana, M. (2017). Fast CNN-based document layout analysis. In International conference on computer vision workshops (pp. 1173–1180).

4. Document layout analysis: A comprehensive survey;Binmakhashen;ACM Computing Surveys,2019

5. Bukhari, S. S., Breuel, T. M., Asi, A., & El-Sana, J. (2012). Layout analysis for arabic historical document images using machine learning. In International conference on frontiers in handwriting recognition (pp. 639–644).

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