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    • Fusion of prompt learning and visual semantic generation for image captioning of Dongba paintings

    • New progress has been made in the image description method of Dongba painting, and experts have proposed a method that combines prompt learning and visual semantic generative fusion, effectively improving the accuracy of description and cultural expression ability.
    • Vol. 30, Issue 10, Pages: 3361-3376(2025)   

      Received:21 October 2024

      Revised:2025-02-12

      Published:16 October 2025

    • DOI: 10.11834/jig.240601     

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  • Luo Shuang, Qian Wenhua, Liu Peng. 2025. Fusion of prompt learning and visual semantic generation for image captioning of Dongba paintings. Journal of Image and Graphics, 30(10):3361-3376 DOI: 10.11834/jig.240601.
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相关作者

Lai Jianhuang 中山大学计算机学院;琶洲实验室(黄埔);广东省信息安全技术重点实验室
Feng Zhanxiang 中山大学系统科学与工程学院
Yuan Zang 中山大学计算机学院
Huang Yuli 中山大学计算机学院
Lai Peijie 中山大学系统科学与工程学院
Dai Bangqiang 江西理工大学信息工程学院
Shao Xiang 江西理工大学信息工程学院
Li Yanxian 江西理工大学信息工程学院

相关机构

Guangdong Province Key Laboratory of Information Security Technology
Pazhou Laboratory (HuangPu)
School of Computer Science, Sun Yat-sen University
School of Systems Science and Engineering, Sun Yat-sen University
School of Information Engineering, Jiangxi University of Science and Technology
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