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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Dettagli Bibliografici
Autori principali: Yongchang Gao, Jian Lian, Bin Gong
Natura: Articolo
Lingua:English
Pubblicazione: SpringerOpen 2018-09-01
Serie:EURASIP Journal on Image and Video Processing
Soggetti:
Image classification
Machine vision
Industry automation
Accesso online:http://link.springer.com/article/10.1186/s13640-018-0329-z

Accesso online

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

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