A DenseNet‐based feature weighting convolutional network recognition model and its application in industrial part classification

A DenseNet‐based feature weighting convolutional network recognition model and its application in industrial part classification

Abstract Traditional warehousing typically needs machine learning or manual tagging to classify objects. However, this method is less robust and consumes a lot of labour and material resources. Based on DenseNet, this work proposes a feature weighting convolutional network recognition model and desi...

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Bibliographic Details
Main Authors: Kang An, Xiaoqing Sun, Yaqing Song, Yebin Lu, Qianqian Shangguan
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:IET Image Processing
Subjects:
character recognition
convolutional neural nets
edge detection
learning (artificial intelligence)
Online Access:https://doi.org/10.1049/ipr2.12971

Internet

https://doi.org/10.1049/ipr2.12971

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