A Transformer-Based Framework for Scene Text Recognition-Reference-Cited by-同舟云学术

A Transformer-Based Framework for Scene Text Recognition

Published:2022 Issue: Volume:10 Page:100895-100910
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Selvam Prabu¹,Koilraj Joseph Abraham Sundar¹,Romero Carlos Andres Tavera²^ORCID,Alharbi Meshal³^ORCID,Mehbodniya Abolfazl⁴^ORCID,Webber Julian L.⁴^ORCID,Sengan Sudhakar⁵^ORCID

Affiliation:

1. School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India

2. COMBA R&D Laboratory, Faculty of Engineering, Universidad Santiago de Cali, Cali, Colombia

3. Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

4. Department of Electronics and Communications Engineering, Kuwait College of Science and Technology, Safat, Kuwait

5. Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, India

Funder

Dirección General de Investigaciones at Universidad Santiago de Cali

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09894408.pdf?arnumber=9894408

Reference51 articles.

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2. Scene Text Recognition using Higher Order Language Priors

3. QANet: Combining local convolution with global self attention for reading comprehension;yu;Proc Int Conf Learn Represent,2018

4. Speech-Transformer: A No-Recurrence Sequence-to-Sequence Model for Speech Recognition

5. PMMN: Pre-trained multi-Modal network for scene text recognition

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