Research on multi object detection in mining face based on FBEC-YOLOv5s

Research on multi object detection in mining face based on FBEC-YOLOv5s

A multi object detection algorithm based on FBEC-YOLOv5s is proposed to address the issues of reduced detection precision caused by large object scale spans, severe obstruction between multiple objects, and harsh environments in mining faces. Firstly, the FasterNet network is introduced into the bac...

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Bibliographic Details
Main Authors: ZHANG Hui, SU Guoyong, ZHAO Dongyang
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2023-11-01
Series:Gong-kuang zidonghua
Subjects:
mining face
multi object detection
fasternet network
bidirectional feature pyramid network
yolov5s
bifpn
eciou loss function
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2023060063

Internet

http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2023060063

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