Continual Local Replacement for Few-shot Learning
Continual Local Replacement for Few-shot Learning
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Author / Creator
Le, Canyu , Chen, Zhonggui , Xihan Wei , Wang, Biao and Zhang, Lei
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
The goal of few-shot learning is to learn a model that can recognize novel classes based on one or few training data. It is challenging mainly due to two aspects: (1) it lacks good feature representation of novel classes; (2) a few of labeled data could not accurately represent the true data distribution and thus it's hard to learn a good decision...
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Full title
Continual Local Replacement for Few-shot Learning
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Record Identifier
TN_cdi_proquest_journals_2344453206
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2344453206
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E-ISSN
2331-8422
