Pure Transformer with Integrated Experts for Scene Text Recognition

Yew Lee Tan; Adams Wai‐Kin Kong; Jung‐Jae Kim

doi:10.1007/978-3-031-19815-1_28

ScienceGate Book Chapters

BOOK-CHAPTER

Pure Transformer with Integrated Experts for Scene Text Recognition

Yew Lee Tan Adams Wai‐Kin Kong Jung‐Jae Kim

Year: 2022 Lecture notes in computer science Pages: 481-497 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-19815-1_28

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Transformer Convolutional neural network Encoder Artificial intelligence Pattern recognition (psychology) Speech recognition Voltage Engineering Electrical engineering

Metrics

Cited By

2.48

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Handwritten Text Recognition Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Pure Transformer with Integrated Experts for Scene Text Recognition

Metrics

Citation History

Topics

Related Documents

Scene Text Recognition with Transformer using Multi-patches

Display-Semantic Transformer for Scene Text Recognition

Lightweight Scene Text Recognition Based on Transformer

Compressed Vision Transformer for Scene Text Recognition

Improving transformer for scene text and handwritten text recognition