在AMMW图像中用于隐藏物体检测的开放词汇检测
Chenjiang Jiang1, Chunyu Li2, Xuejun Zhao3
1People's Public Security University of China, Beijing, 100038, P. R. China.
Scientific reports
|August 15, 2025
概括
本研究介绍了Open-MMW,这是一种用于毫米波 (MMW) 成像的新开放词汇检测算法. 开放MMW通过能够检测多样化,以前未见的隐藏对象来增强安全性,克服了传统系统的局限性.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 安全技术 安全技术
背景情况:
- 毫米波 (MMW) 成像对于安全检测至关重要.
- 当前的MMW探测器与新的,看不见的物体类别作斗争.
- 准确识别各种隐藏物体是一个重大挑战.
研究的目的:
- 为MMW图像引入一个新的开放词汇检测算法,Open-MMW.
- 为了使MMW安全检测能够识别多样化和未经训练的对象.
- 解决闭集检测在识别新对象类型的局限性.
主要方法:
- 适应了YOLO-World探测器框架用于MMW图像分析.
- 设计了多尺度卷积和任务集成块,以优化功能提取.
- 实现了一个文本-图像交互模块,具有注意力机制,用于特征对齐.
主要成果:
- 开放MMW显示了与基线模型相比的显著改进.
- 回忆增加了13.7%,精度增加了13.9%,mAP@0.5增加了14.2%,mAP@[0.5-0.95]增加了10.3%.
- 超越了最先进的多式联运模式,展示了强大的零射击检测能力.
结论:
- 开放MMW有效地解决了在MMW图像中检测多样化,看不见的物体的挑战.
- 该算法提供强大的零射击检测功能,推进安全应用.
- 这项工作代表了开放词汇检测对MMW图像分析的首次应用.
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