@inproceedings{849785296c2144c4afc071a11ade2a0a,
title = "Research on Improvement Methods for YOLOv5s Based on Gaussian Decay",
abstract = "This study proposes an enhanced YOLOv5s algorithm that improves detection accuracy by integrating Gaussian decay into the non-maximum suppression (NMS) process. This modification optimizes the conventional greedy suppression strategy through a soft attenuation mechanism based on overlap degree. Comprehensive experiments on the TT100K and MS COCO datasets demonstrate that the Gaussian-weighted NMS achieves state-of-the-art performance, with a 95.48 \% mAP@ 0.75 on TT100K and 39.7\% mAP\{@\}0.5:0.95 on MS COCO, while maintaining real-time inference at 139 FPS. The method exhibits strong generalization capability and provides an optimal balance between precision and computational efficiency.",
keywords = "Computational efficiency, Gaussian decay, Non-Maximum Suppression, Real-time detection, YOLOv5s",
author = "Zhiqi Liu and Xiaopu Zhang and Yuanrui Liang and Yong Xia",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 5th International Conference on Electronic Information Engineering and Computer Technology, EIECT 2025 ; Conference date: 24-10-2025 Through 26-10-2025",
year = "2025",
doi = "10.1109/EIECT68017.2025.11331828",
language = "英语",
series = "2025 5th International Conference on Electronic Information Engineering and Computer Technology, EIECT 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "109--113",
booktitle = "2025 5th International Conference on Electronic Information Engineering and Computer Technology, EIECT 2025",
}