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...

詳細記述

書誌詳細
主要な著者: Yongchang Gao, Jian Lian, Bin Gong
フォーマット: 論文
言語:English
出版事項: SpringerOpen 2018-09-01
シリーズ:EURASIP Journal on Image and Video Processing
主題:
Image classification
Machine vision
Industry automation
オンライン･アクセス:http://link.springer.com/article/10.1186/s13640-018-0329-z

インターネット

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

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