DocEnTr: An End-to-End Document Image Enhancement Transformer-Reference-Cited by-同舟云学术

DocEnTr: An End-to-End Document Image Enhancement Transformer

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Conference on Pattern Recognition (ICPR)
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Author:

Souibgui Mohamed Ali¹,Biswas Sanket¹,Jemni Sana Khamekhem²,Kessentini Yousri³,Fornes Alicia⁴,Llados Josep⁴,Pal Umapada⁵

Affiliation:

1. Universitat Autònoma de Barcelona,Computer Vision Center,Barcelona,Spain

2. University of Sfax,Digital Research Center of Sfax MIRACL Laboratory,Sfax,Tunisia

3. Digital Research Center of Sfax,SM@RTS Laboratory,Sfax,Tunisia

4. Universitat Autònoma de Barcelona,Computer Vision Center,Computer Science Dept.,Barcelona,Spain

5. Indian Statistical Institute,CVPR Unit,Kolkata,India

Funder

Generalitat de Catalunya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956101.pdf?arnumber=9956101

Reference44 articles.

1. H-DIBCO 2010 - Handwritten Document Image Binarization Competition

2. ICFHR 2018 Competition on Handwritten Document Image Binarization (H-DIBCO 2018)

3. Doc-former: End-to-end transformer for document understanding;appalaraju;ICCV,2021

4. Layoutlmv2: Multi-modal pre-training for visually-rich document understanding;xu,2020

5. A conditional gan based approach for distorted camera captured documents recovery;souibgui;In Mediterranean Conference on Pattern Recognition and Artificial Intelligence,2020

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