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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Yongchang Gao, Jian Lian, Bin Gong
Format: Artykuł
Język:English
Wydane: SpringerOpen 2018-09-01
Seria:EURASIP Journal on Image and Video Processing
Hasła przedmiotowe:
Image classification
Machine vision
Industry automation
Dostęp online: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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