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    • Consistency constraint guided network for zero-shot 3D classification

    • In the field of zero sample 3D model classification, researchers have proposed a consistency constrained guided classification network, which effectively improves classification accuracy and network generalization ability.
    • Vol. 30, Issue 5, Pages: 1450-1465(2025)   

      Received:29 September 2024

      Revised:2024-10-16

      Published:16 May 2025

    • DOI: 10.11834/jig.240397     

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  • Yan Hao, Bai Jing, Zheng Hu. 2025. Consistency constraint guided network for zero-shot 3D classification. Journal of Image and Graphics, 30(5):1450-1465 DOI: 10.11834/jig.240397.
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相关作者

Yan Hao 北方民族大学计算机科学与工程学院
Bai Jing 北方民族大学计算机科学与工程学院;国家民委图像图形智能处理实验室
Zheng Hu 北方民族大学计算机科学与工程学院
Haoyu Zhang 浙江大学计算机与科学技术学院
Tianbao Wang 浙江大学计算机与科学技术学院
Mengze Li 浙江大学计算机与科学技术学院
Zhou Zhao 浙江大学计算机与科学技术学院
Shiliang Pu 杭州海康威视数字技术股份有限公司

相关机构

The Key Laboratory of images & Graphics Intelligent Processing of State Ethnic Affairs Commission
College of Computer Science and Technology, Zhejiang University
Hangzhou Hikvision Digital Technology Co., Ltd.
School of Artificial Intelligence, Anhui University of Science and Technology
School of Safety Science and Engineering, Anhui University of Science and Technology
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