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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Bibliografiska uppgifter
Huvudupphovsmän: Yongchang Gao, Jian Lian, Bin Gong
Materialtyp: Artikel
Språk:English
Publicerad: SpringerOpen 2018-09-01
Serie:EURASIP Journal on Image and Video Processing
Ämnen:
Image classification
Machine vision
Industry automation
Länkar: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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