A cross-domain fruit classification method based on lightweight attention networks and unsupervised domain adaptation

A cross-domain fruit classification method based on lightweight attention networks and unsupervised domain adaptation

Abstract Image-based fruit classification offers many useful applications in industrial production and daily life, such as self-checkout in the supermarket, automatic fruit sorting and dietary guidance. However, fruit classification task will have different data distributions due to different applic...

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Bibliographic Details
Main Authors: Jin Wang, Cheng Zhang, Ting Yan, Jingru Yang, Xiaohui Lu, Guodong Lu, Bincheng Huang
Format: Article
Language:English
Published: Springer 2022-12-01
Series:Complex & Intelligent Systems
Subjects:
Transfer learning
Deep learning
Attention mechanism
Fruit classification
Online Access:https://doi.org/10.1007/s40747-022-00955-8

Internet

https://doi.org/10.1007/s40747-022-00955-8

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