An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines
State-of-the-art deep learning models for food recognition do not allow data incremental learning and often suffer from catastrophic interference problems during the class incremental learning. This is an important issue in food recognition since real-world food datasets are open-ended and dynamic,...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/24851/ https://doi.org/10.1109/ACCESS.2020.2991810 |
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