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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Detaylı Bibliyografya
Asıl Yazarlar: Yongchang Gao, Jian Lian, Bin Gong
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: SpringerOpen 2018-09-01
Seri Bilgileri:EURASIP Journal on Image and Video Processing
Konular:
Image classification
Machine vision
Industry automation
Online Erişim: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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