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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Yongchang Gao, Jian Lian, Bin Gong
Формат: Өгүүллэг
Хэл сонгох:English
Хэвлэсэн: SpringerOpen 2018-09-01
Цуврал:EURASIP Journal on Image and Video Processing
Нөхцлүүд:
Image classification
Machine vision
Industry automation
Онлайн хандалт:http://link.springer.com/article/10.1186/s13640-018-0329-z

Интернэт

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

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