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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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Springer Science
2022
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| Subjects: | |
| 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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