Fruit ripeness classification with few-shot learning

Deep learning based image classification systems require large amount of training data and long training time. However, the availability of large annotated image dataset is usually limited and expensive to generate, which limits a vision system to adapt to new task efficiently. In this paper, a few-...

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Bibliographic Details
Main Authors: Ng, Hui-Fuang, Lo, Jie-Jin, Lin, Chih-Yang, Tan, Hung-Khoon, Chuah, Joon-Huang, Leung, Kar-Hang
Format: Article
Published: Springer Science 2022
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Online Access:http://eprints.um.edu.my/43257/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125245558&doi=10.1007%2f978-981-16-8129-5_109&partnerID=40&md5=73bacfd3560434828a149f876fc6987f
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Institution: Universiti Malaya