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A Deep Transfer Learning Solution for Food Material Recognition Using Electronic Scales
Guangyi Xiao1; Qi Wu1; Hao Chen1; Da Cao1; Jingzhi Guo2; Zhiguo Gong3
2019-07-25
Source PublicationIEEE Transactions on Industrial Informatics
ISSN1551-3203
Volume16Issue:4Pages:2290-2300
Abstract

In this article, we present a novel solution to automating the procurement of food materials by using electronic scales, which can automatically identify the food materials along weighing them. Although the CNN model is regarded as one of the most effective solutions to image recognition, the traditional techniques cannot handle the mismatch problem between the lab training data and the real world data. To solve the problem, we propose to embed a partial-and-imbalanced domain adaptation technique (tree adaptation network) in the deep learning model, which can borrow knowledge from sibling classes, to overcome the imbalance problem, and transfer knowledge from the source domain to the target domain, to fight the mismatch problem between the lab training data and the real world data. Experiments show that the proposed approach outperforms state-of-the-art algorithms. Furthermore, the proposed techniques have already been used in practice.

KeywordCnn Network Food Material Recognition Imbalance Lab-to-reality Transition Transfer Learning
DOI10.1109/TII.2019.2931148
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaAutomation & Control Systems ; Computer Science ; Engineering
WOS SubjectAutomation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS IDWOS:000510901000012
Scopus ID2-s2.0-85078418236
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Citation statistics
Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorDa Cao
Affiliation1.College of Computer Science and Electronic Engineering,Hunan University,Changsha,China
2.Department of Computer and Information Science,University of Macau,Macao
3.Department of Computer and Information Science,State Key Laboratory of Internet of Things for Smart City,University of Macau,Macao
Recommended Citation
GB/T 7714
Guangyi Xiao,Qi Wu,Hao Chen,et al. A Deep Transfer Learning Solution for Food Material Recognition Using Electronic Scales[J]. IEEE Transactions on Industrial Informatics,2019,16(4):2290-2300.
APA Guangyi Xiao,Qi Wu,Hao Chen,Da Cao,Jingzhi Guo,&Zhiguo Gong.(2019).A Deep Transfer Learning Solution for Food Material Recognition Using Electronic Scales.IEEE Transactions on Industrial Informatics,16(4),2290-2300.
MLA Guangyi Xiao,et al."A Deep Transfer Learning Solution for Food Material Recognition Using Electronic Scales".IEEE Transactions on Industrial Informatics 16.4(2019):2290-2300.
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