YOLOv8n network architecture diagram.

<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. Therefore, the research on millimeter wave radar object de...

Full description

Saved in:

Bibliographic Details
Main Author:	Mengqi Yuan (4852555) (author)
Other Authors:	Yajing Yuan (22278948) (author), Xiangqun Zhang (9183983) (author), Zhenghao Zhu (8812391) (author), Chenxi Zhao (5557568) (author), Xiangqian Gao (6109775) (author), Genyuan Du (22278951) (author)
Published:	2025
Subjects:	Biological Sciences not elsewhere classified Information Systems not elsewhere classified three main improvements strengthen feature extraction recover fine details optimize feature fusion novel backbone network model &# 8217 mean average precision harsh weather conditions great practical significance 500 annotated images target detection scene new target detection xlink "> millimeter publicly available 5 map ), precision important research direction 6 %, respectively mmwave yolov8n model object detection mmwave yolov8n detection algorithm strong privacy sampling technique results show poor performance method evaluation low cost intelligent security including 2 deep learning data modeling classification framework
Tags:	Add Tag No Tags, Be the first to tag this record!

YOLOv8n network architecture diagram.

Similar Items