Enhanced SSD framework for detecting defects in cigarette appearance using variational Bayesian inference under limited sample conditions

Enhanced SSD framework for detecting defects in cigarette appearance using variational Bayesian inference under limited sample conditions

In high-speed cigarette manufacturing industries, occasional minor cosmetic cigarette defects and a scarcity of samples significantly hinder the rapid and accurate detection of defects. To tackle this challenge, we propose an enhanced single-shot multibox detector (SSD) model that uses variational B...

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Bibliographic Details
Main Authors: Shichao Wu, Xianzhou Lv, Yingbo Liu, Ming Jiang, Xingxu Li, Dan Jiang, Jing Yu, Yunyu Gong, Rong Jiang
Format: Article
Language:English
Published: AIMS Press 2024-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
ssd
cigarette appearance defects
variational bayesian inference
tiny target detection
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024145?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024145?viewType=HTML

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