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    • Cross-modal prior driven active learning for object detection

    • Experts propose a cross modal prior driven semantic enhancement active learning method to improve sample selection quality, reduce data annotation costs, and enhance model learning efficiency.
    • Pages: 1-12(2026)   

      Received:15 October 2025

      Revised:2026-01-26

      Accepted:03 February 2026

      Published Online:03 February 2026

    • DOI: 10.11834/jig.250504     

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  • Wang Zhuo, Wang Binyi, Xiao Junhao, Huang Kaihong, Li Shiliang, Xie Yunfei, Wang Jia. Cross-modal prior driven active learning for object detection[J/OL]. Journal of Image and Graphics, 2026, 1-12. DOI: 10.11834/jig.250504.
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Gao Guangshuai 中原工学院信息与通信工程学院
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相关机构

School of Information and Communication Engineering, Zhongyuan University of Technology
School of Automation Engineering, University of Electronic Science and Technology of China
School of Geosciences and Info-physics, Central South University
Mine Digitization Engineering Research Center of the Ministry of Education
School of Computer Science and Technology, China University of Mining and Technology
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