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DLE-YOLO: A Helmet Detection Model Based on Detail Capture and Precise Localization

  • 【作者】Xiaofang Mu,Yiming Wu,Hong Shi,Mingxing Hou,Bing Guo
  • 【会议名称】2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP)
  • 【作者单位】School of Computer Science and Technology, Taiyuan Normal University, Taiyuan, China
  • 【召开年】2024
  • 【会议地点】Chengdu, China
  • 【关键词】Head Accuracy Attention mechanisms Shape Convolution Interference Feature extraction Safety Neck Context modeling 
  • 【摘要】 In response to the challenge of low helmet detection accuracy in actual construction site scenarios due to factors such as worker occlusion and background interference, this paper proposes a helmet detection model based on YOLOv8, named DLE-YOLO. In ...
  • 【文献类型】 会议论文
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