An improved tiny YOLO v3 rapid recognition model for coal-gangue

The traditional coal gangue sorting methods have low efficiency, significant safety hazards, and limited application scope. The existing machine vision-based coal gangue image recognition methods are difficult to balance model recognition speed and accuracy. And the methods do not comprehensively co...

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Opis bibliograficzny

1. autor:	ZHENG Daoneng
Format:	Artigo
Język:	Chinês
Wydane:	Editorial Department of Industry and Mine Automation 2023-04-01
Seria:	Gong-kuang zidonghua
Hasła przedmiotowe:	coal gangue sorting image recognition of coal gangue spatial pyramid pooling squeeze-and-excitation module dilated convolution tiny yolo v3
Dostęp online:	http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.18079
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