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...

Полное описание

Библиографические подробности
Главные авторы: Yongchang Gao, Jian Lian, Bin Gong
Формат: Статья
Язык:English
Опубликовано: SpringerOpen 2018-09-01
Серии:EURASIP Journal on Image and Video Processing
Предметы:
Image classification
Machine vision
Industry automation
Online-ссылка: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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