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Vision object detection model with deep active learning
更新时间：2026-02-03

    • Vision object detection model with deep active learning

    • “A new breakthrough has been made in the field of autonomous driving, and relevant experts have constructed an active visual object detection model based on Gaussian mixture distribution, effectively reducing dependence on annotated data. With only 54% annotation, YOLOX supervised learning achieved 98.8% performance, providing new ideas for safety perception in autonomous driving.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 11, Pages: 3697-3704(2025)
    • 作者机构：

      辽宁工业大学 电子与信息工程学院， 辽宁 锦州 121001

    • DOI：10.13229/j.cnki.jdxbgxb.20240223    

      CLC： TP391

    • Received：06 March 2024，

      Published：01 November 2025

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  • CAO Yu-dong,LIAO Xin-lin,CHEN Xin,et al.Vision object detection model with deep active learning[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(11):3697-3704. DOI： 10.13229/j.cnki.jdxbgxb.20240223.

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