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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Автори:	Kang An, Xiaoqing Sun, Yaqing Song, Yebin Lu, Qianqian Shangguan
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Wiley 2024-02-01
Серія:	IET Image Processing
Предмети:	character recognition convolutional neural nets edge detection learning (artificial intelligence)
Онлайн доступ:	https://doi.org/10.1049/ipr2.12971
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