Vehicle Detection Based on Improved Yolov11 and Attention Mechanism
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- DOI码：10.15680/IJIRCCE.2025.1304005
- 发表刊物：IJIRCCE
- 关键字：Vehicle Detection,YOLOV11,Attention Mechanism,Deep Learning,Object Detection
- 摘要：In this paper, an improved vehicle detection method based on YOLOv11 and an attention mechanism is
proposed. By optimizing the network structure and integrating the attention mechanism, the accuracy and efficiency of
vehicle detection are significantly enhanced. The experimental results show that the proposed method outperforms the
traditional YOLOv11 in various scenarios, providing a more reliable solution for intelligent transportation systems and
related fields.
- 第一作者：文学志
- 论文类型：期刊论文
- 通讯作者：Ka Souleymane
- 卷号：13
- 期号：4
- 是否译文：否
- 发表时间：2025-04-22
- 文学志_Vehicle Detection Based on Improved Yolov11 and Attention Mechanism.pdf 下载[] 次
