Zobrazeno 1 - 2
of 2
pro vyhledávání: '"SHI Zhimang"'
Publikováno v:
Gong-kuang zidonghua, Vol 47, Iss 11, Pp 119-125 (2021)
In order to solve the problems of low precision, poor real-time performance and easy missing detection of small targets in the current deep learning-based coal and gangue target detection methods, the SSD model is improved by using lightweight networ
Externí odkaz:
https://doaj.org/article/e2188a46d287498e85b89b6d5f86db9a
Publikováno v:
Gong-kuang zidonghua, Vol 47, Iss 8, Pp 77-83 (2021)
In order to solve the problem of slow detection speed of existing deep learning based belt conveyor foreign object detection methods, an improved YOLOv3 model is proposed and applied to coal mine belt conveyor foreign object detection. The model uses
Externí odkaz:
https://doaj.org/article/9da8cd773ebb4aad91d29961eb23a8b2