A comprehensive study of class incremental learning algorithms for visual tasks

DOI10.1016/J.NEUNET.2020.12.003zbMath1521.68110arXiv2011.01844WikidataQ104505100 ScholiaQ104505100MaRDI QIDQ6078667

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Publication date: 28 September 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2011.01844

zbMATH Keywords

incremental learningimage classificationconvolutional neural networksimbalanced learningcatastrophic forgetting

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Cites Work

• Extensions of vector quantization for incremental clustering

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