Object Detection and Recognition Algorithm Based on YOLOv5 and the Fusion of Attention and Multistage Features

To tackle the problem of low accuracy of detection and recognition for object in complex scenes, YOLOv5 object detection and recognition algorithm based on attention and multistage feature fusion(AMFF) was proposed in this study. The main ideas included adding the proposed dual space directions pyra...

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Bibliografische gegevens

Hoofdauteurs:	WANG Yu, BI Yu, SHI Jiantong, XIAO Hongbing, SUN Mei
Formaat:	Artigo
Taal:	Chinês
Gepubliceerd in:	Editorial Office of Journal of Zhengzhou University (Engineering Science) 2024-05-01
Reeks:	Zhengzhou Daxue xuebao. Gongxue ban
Onderwerpen:	deep learning yolov5s object detection multistage feature fusion attention mechanism
Online toegang:	http://gxb.zzu.edu.cn/Upload/PaperUpLoad/af3eb339-0ccd-46e8-bff2-1794b9263a40.pdf
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