X-ray Prohibited Items Detection Based on Inverted Bottleneck and Light Convolution Block Attention Module

X-ray Prohibited Items Detection Based on Inverted Bottleneck and Light Convolution Block Attention Module

To resolve the problems of position and angle change causing miss and false detection, low accuracy of difficult samples in X-ray luggage images, using YOLOv5 as the baseline, this paper proposes a model by inverted bottleneck and light convolution block attention module for the X-ray prohibited ite...

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Bibliographic Details
Main Author: DONG Yishan, GUO Jingyuan, LI Mingze, SUN Jia'ao, LU Shuhua
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-05-01
Series:Jisuanji kexue yu tansuo
Subjects:
x-ray imagery; prohibited items detection; inverted bottleneck; light convolution block attention module (lcbam)
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2301041.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2301041.pdf

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