Automatic classification of refrigerator using doubly convolutional neural network with jointly optimized classification loss and similarity loss

Automatic classification of refrigerator using doubly convolutional neural network with jointly optimized classification loss and similarity loss

Abstract Modern production lines for refrigerator take advantage of automated inspection equipment that relies on cameras. As an emerging problem, refrigerator classification based on images from its front view is potentially invaluable for industrial automation of refrigerator. However, it remains...

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Detalhes bibliográficos
Principais autores: Yongchang Gao, Jian Lian, Bin Gong
Formato: Artigo
Idioma:English
Publicado em: SpringerOpen 2018-09-01
coleção:EURASIP Journal on Image and Video Processing
Assuntos:
Image classification
Machine vision
Industry automation
Acesso em linha:http://link.springer.com/article/10.1186/s13640-018-0329-z

Internet

http://link.springer.com/article/10.1186/s13640-018-0329-z

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