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Improving Oracle Bone Characters Recognition viaACycleGAN-Based Data Augmentation Method

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成果类型:
会议论文
作者:
Wang W.;Zhang T.;Zhao Y.;Jin X.;Mouchere H.;...
通讯作者:
Zhang, T.
作者机构:
[Zhang T.; Wang W.; Jin X.; Zhao Y.; Yu X.] Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China
[Mouchere H.] Nantes Université, École Centrale Nantes, LS2N, UMR 6004, Nantes, 44000, France
通讯机构:
[Zhang, T.] F
Faculty of Artificial Intelligence in Education, China
语种:
英文
关键词:
Characters recognition;Class imbalance;CycleGAN;Data augmentation
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2023
卷:
1793 CCIS
页码:
88-100
会议名称:
29th International Conference on Neural Information Processing, ICONIP 2022
会议时间:
22 November 2022 through 26 November 2022
主编:
Tanveer M.Agarwal S.Ozawa S.Ekbal A.Jatowt A.
出版者:
Springer Science and Business Media Deutschland GmbH
ISBN:
9789819916443
机构署名:
本校为第一机构
摘要:
Oracle bone inscription is the earliest writing system in China which contains rich information about the history of Shang dynasty. Automatically recognizing oracle bone characters is of great significance since it could promote the research on history, philology and archaeology. The proposed solutions for oracle bone characters recognition are mainly based on machine learning or deep learning algorithms which rely on a large number of supervised training data. However, the existing dataset suffers from the problem of severe class imbalance. In...

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