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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Yongchang Gao, Jian Lian, Bin Gong
التنسيق: مقال
اللغة:English
منشور في: SpringerOpen 2018-09-01
سلاسل:EURASIP Journal on Image and Video Processing
الموضوعات:
Image classification
Machine vision
Industry automation
الوصول للمادة أونلاين:http://link.springer.com/article/10.1186/s13640-018-0329-z

الانترنت

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

مواد مشابهة