个人信息

参与实验室科研项目
人机智能协同关键技术及其在智能制造中的应用
非可信智能驱动的可靠智造
学术成果
共撰写/参与撰写专利 0 项,录用/发表论文 1 篇,投出待录用论文0篇。学术成果部分从赵云波教授个人维护的bib文件自动生成,只包含其共同署名的论文/专利(联合培养或代为指导学生可能有未署名论文/专利,不会在此展示),会因为更新不及时而缺失部分论文/专利,如有缺失请及时与老师联系添加更新。
Conference Articles
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Defect Detection of Laptop Appearance Based on Improved Multi-Scale Normalizing Flows
Jie Zhang,
Yunbo Zhao,
and Zerui Li
In The 38th Youth Academic Annual Conference of Chinese Association of Automation
2023
[Abs]
[pdf]
In the laptop production process, timely detection of appearance defects is essential to ensure product quality. At present, there are many shortcomings in the manual visual inspection-based method on the laptops production line. In addition, due to the wide variety of laptop appearance defects and extreme differences in defect scales, existing defect detection algorithms perform poorly in the field of laptop appearance inspection. In response to the above problems, this paper proposes a defect detection algorithm based on improved multi-scale normalizing flows. First, the multi-level features extracted from the backbone network are fused by using the pyramid feature fusion module to obtain multi-scale features with rich semantic and spatial information. Then, the effective density estimation of the multi-scale features is achieved by fusing the normalizing flows of attention mechanisms. Finally, the defects are detected and localized based on the output likelihood values. The experimental results demonstrate the effectiveness of the proposed method in detecting and locating appearance defects.