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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:2024-09-04

      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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相关作者

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
Chen Songle 南京邮电大学江苏省邮政大数据技术与应用工程研究中心;南京大学计算机软件新技术国家重点实验室
Huang Ruyue 南京邮电大学江苏省邮政大数据技术与应用工程研究中心
Huang Sixuan 南京邮电大学江苏省邮政大数据技术与应用工程研究中心

相关机构

Anhui Provincial Key Laboratory of Industrial Intelligent Data Security
Jiangsu Provincial Postal Big Data Technology and Application Engineering Research Center,Nanjing University of Posts and Telecommunications
State Key Laboratory for Novel Software Technology,Nanjing University
School of Digital Economy, Nanjing Audit University
College of Meteorology and Oceanography, National University of Defense Technology
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