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DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning

DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2787015073

DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning

About this item

Full title

DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-03

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Online Class-Incremental (OCI) learning has sparked new approaches to expand the previously trained model knowledge from sequentially arriving data streams with new classes. Unfortunately, OCI learning can suffer from catastrophic forgetting (CF) as the decision boundaries for old classes can become inaccurate when perturbated by new ones. Existing...

Alternative Titles

Full title

DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2787015073

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2787015073

Other Identifiers

E-ISSN

2331-8422

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