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    • Transformer attention-guided optimal view selection and classification for 3D models

    • In the field of 3D model classification, researchers have proposed an optimal view selection and classification method based on Transformer attention guidance, which effectively improves classification performance and selects representative views.
    • Vol. 30, Issue 12, Pages: 3927-3940(2025)   

      Received:12 February 2025

      Revised:2025-04-28

      Accepted:15 May 2025

      Published:16 December 2025

    • DOI: 10.11834/jig.250037     

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  • Chen Songle, Huang Ruyue, Huang Sixuan, Chen Yi, Li Qian. 2025. Transformer attention-guided optimal view selection and classification for 3D models. Journal of Image and Graphics, 30(12):3927-3940 DOI: 10.11834/jig.250037.
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相关作者

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,南京 2100023
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
Chen Yi 南京审计大学数字经济系
Li Qian 国防科技大学气象海洋学院
Feng Qihan 中国矿业大学计算机科学与技术学院
Wang Zhixiao 中国矿业大学计算机科学与技术学院
Sun Chengcheng 中国矿业大学计算机科学与技术学院

相关机构

State Key Lab for Novel Software Technology,Nanjing University
School of Digital Economy, Nanjing Audit
School of Computer Science and Technology, China University of Mining and Technology
School of Computer Science and Engineering, Shanghai Jiao Tong University
School of Computer Science and Technology, Chongqing University of Posts and Telecommunications
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