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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Yongchang Gao, Jian Lian, Bin Gong
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: SpringerOpen 2018-09-01
Σειρά:EURASIP Journal on Image and Video Processing
Θέματα:
Image classification
Machine vision
Industry automation
Διαθέσιμο Online:http://link.springer.com/article/10.1186/s13640-018-0329-z

Διαδίκτυο

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

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