Attention-Enhanced CNN for Chinese Calligraphy Styles Classification-Reference-Cited by-同舟云学术

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Attention-Enhanced CNN for Chinese Calligraphy Styles Classification

Published:2021-05-20 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 7th International Conference on Virtual Reality (ICVR)
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Author:

Zhang Jiulong,Yu Wenhang,Wang Zhixiao,Li Junhuai,Pan Zhigeng

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9483697/9483698/09483820.pdf?arnumber=9483820

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SMFNet: One-Shot Recognition of Chinese Character Font Based on Siamese Metric Model;IEEE Access;2024

2. A Novel CNN Model for Classification of Chinese Historical Calligraphy Styles in Regular Script Font;Sensors;2023-12-29

3. Research on Algorithm for Authenticating the Authenticity of Calligraphy Works Based on Improved EfficientNet Network;Applied Sciences;2023-12-28

4. Feature fusion and decomposition: exploring a new way for Chinese calligraphy style classification;The Visual Computer;2023-05-18

5. Digital handwriting correction using deep learning;2023 International Conference on Electronics, Information, and Communication (ICEIC);2023-02-05

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