计算机科学
GSM演进的增强数据速率
算法
边缘计算
计算机视觉
人工智能
作者
Yan Xing,Xu Han,Xiaodong Pan,Dong An,Weidong Liu,Yuanshen Bai
标识
DOI:10.3389/fnbot.2024.1423738
摘要
The EMG-YOLO algorithm proposed in this paper effectively addresses the issues of poor data quality and high computational burden on edge computing devices. This is achieved through optimizing the model head structure, upgrading the loss function, and introducing global context modeling. Experimental results demonstrate significant improvements in both accuracy and efficiency, especially in complex environments. Future research can further optimize this algorithm and explore more lightweight and efficient object detection models for edge computing devices.
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