Vision Transformer-Based Recognition of Chinese Cursive Calligraphy: A Curriculum Learning and Skeleton Embedding Approach

Chinese cursive calligraphy, characterized by fluid and complex strokes, presents a significant challenge in character recognition due to the variations in character structure and style. This paper proposes an innovative approach to recognize Chinese cursive characters using two Vision Transformer (

Authors

Jinyang Zheng
Yilin Fang (ORCID: https://orcid.org/0009-0004-7095-7366)
Xinrui Shan
T. Y. Qi

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.4108/eai.21-11-2024.2354609
Primary Topic: Color perception and design
Type: article
Field-Weighted Citation Impact: 0.00

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article

Vision Transformer-Based Recognition of Chinese Cursive Calligraphy: A Curriculum Learning and Skeleton Embedding Approach

Jinyang Zheng, Yilin Fang, Xinrui Shan, T. Y. Qi

Jan 1, 2025

Color perception and design

article

Vision Transformer-Based Recognition of Chinese Cursive Calligraphy: A Curriculum Learning and Skeleton Embedding Approach

Jinyang Zheng, Yilin Fang, Xinrui Shan, T. Y. Qi

January 1, 2025article en

Abstract

Quality Education

Openalex Percentile: Top 95%

Color perception and design

DOI Open Access PDF OpenAlex

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Vision Transformer-Based Recognition of Chinese Cursive Calligraphy: A Curriculum Learning and Skeleton Embedding Approach — Jinyang Zheng, Yilin Fang, et al. · (2025) | TGRS Research Map | TGRS