Research on coal gangue recognition method based on CED-YOLOv5s model

Research on coal gangue recognition method based on CED-YOLOv5s model

Due to the complex working conditions of high noise, low illumination, and blurred movement in coal mines underground, as well as the phenomenon of coal gangue easily gathering, it is difficult to extract features from coal gangue object detection models. The classification and positioning of coal g...

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Bibliographic Details
Main Authors: HE Kai, CHENG Gang, WANG Xi, GE Qingnan, ZHANG Hui, ZHAO Dongyang
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2024-02-01
Series:Gong-kuang zidonghua
Subjects:
coal gangue recognition
yolov5s
coordinate attention
loss function
lightweight decoupling head
dense object positioning
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2023090065

Internet

http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2023090065

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