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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书目详细资料
Main Authors: Yongchang Gao, Jian Lian, Bin Gong
格式: 文件
语言:English
出版: SpringerOpen 2018-09-01
丛编:EURASIP Journal on Image and Video Processing
主题:
Image classification
Machine vision
Industry automation
在线阅读:http://link.springer.com/article/10.1186/s13640-018-0329-z

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

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