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    • Multiview consistent and complementary information fusion method for 3D model classification

    • In the field of 3D model classification, experts have proposed a deep learning network that effectively integrates consistent and complementary information from multiple views, significantly improving classification accuracy.
    • Vol. 30, Issue 3, Pages: 811-823(2025)   

      Received:06 February 2024

      Revised:04 September 2024

      Published:16 March 2025

    • DOI: 10.11834/jig.240060     

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  • Wu Han, Hu Liangchen, Yang Ying, Jie Biao, Luo Yonglong. 2025. Multiview consistent and complementary information fusion method for 3D model classification. Journal of Image and Graphics, 30(03):0811-0823 DOI: 10.11834/jig.240060.
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Wu Han 安徽师范大学计算机与信息学院;工业智能数据安全安徽省重点实验室
Hu Liangchen 安徽师范大学计算机与信息学院;工业智能数据安全安徽省重点实验室
Yang Ying 安徽师范大学计算机与信息学院;工业智能数据安全安徽省重点实验室
Jie Biao 安徽师范大学计算机与信息学院;工业智能数据安全安徽省重点实验室
Luo Yonglong 安徽师范大学计算机与信息学院;工业智能数据安全安徽省重点实验室

相关机构

Anhui Provincial Key Laboratory of Industrial Intelligent Data Security
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