Image Analysis and Recognition | Views : 0 下载量: 197 CSCD: 0
  • Export

  • Share

  • Collection

  • Album

    • Open-set semi-supervised multi-task learning method for facial age estimation

    • In the field of facial image age estimation, researchers have proposed a new open set semi supervised multi task learning method, which effectively improves the accuracy of age estimation and fully utilizes unlabeled datasets to optimize performance.
    • Vol. 30, Issue 12, Pages: 3804-3823(2025)   

      Received:24 January 2025

      Revised:2025-04-11

      Accepted:15 May 2025

      Published:16 December 2025

    • DOI: 10.11834/jig.250023     

    移动端阅览

  • Zhang Ke, Liang Longping, Guo Yurong, Wang Zinian. 2025. Open-set semi-supervised multi-task learning method for facial age estimation. Journal of Image and Graphics, 30(12):3804-3823 DOI: 10.11834/jig.250023.
  •  
  •  
Alert me when the article has been cited
提交

相关作者

Wang Zinian 华北电力大学电子与通信工程系
Guo Yurong 华北电力大学电子与通信工程系;华北电力大学河北省电力物联网技术重点实验室;电力物联智慧化技术河北省工程研究中心
Liang Longping 华北电力大学电子与通信工程系
Zhang Ke 华北电力大学电子与通信工程系;华北电力大学河北省电力物联网技术重点实验室;电力物联智慧化技术河北省工程研究中心
Zhang Yijun 中移(苏州)软件技术有限公司平台产品部
Zhang Runqing 中移(苏州)软件技术有限公司平台产品部
Zhou Huajian 中移(苏州)软件技术有限公司平台产品部
Huang Tiejun 北京大学计算机学院

相关机构

Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University
School of Computer Science, Peking University
Platform Product Department,China Mobile(Suzhou) Software Technology Co., Ltd.
School of Computer Science and Technology,Zhejiang Gongshang University
School of Information and Electronic Engineering, Zhejiang Gongshang University
0