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Updated: Jun 9, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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通过自适应式双背景建模和SAO-YOLO集成,增强了废弃物体检测

Lei Zhou1, Jingke Xu1,2,3

  • 1College of Computer Science and Engineering, Shenyang Jianzhu University, Shenyang 110168, China.

Sensors (Basel, Switzerland)
|October 26, 2024
PubMed
概括

这项研究介绍了SAO-YOLO,一种改进的废弃物体检测系统. 它显著减少了错误和错误的检测,特别是对于小型或隐藏的物体,提高了公共安全监视.

关键词:
这是一个YOLO YOLO.废弃物体检测系统 废弃物体检测系统双背景模型是一个双背景模型.当地特征提取局部特征提取

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