ABAE: Auxiliary Balanced AutoEncoder for class-imbalanced semi-supervised learning

Semi-supervised learning has achieved extraordinary success in prevalent image-classification benchmarks. However, a class-balanced distribution that differs notably from real-world data distribution is required. In general, models trained under class-imbalanced semi-supervised learning conditions a...

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Veröffentlicht in:	Pattern recognition letters Jg. 182; S. 118 - 124
Hauptverfasser:	Tang, Qianying, Wei, Xiang, Su, Qi, Zhang, Shunli
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2024
Schlagworte:	Autoencoder Class-imbalanced learning Label propagation Semi-supervised learning Class-imbalanced learning Label propagation Semi-supervised learning Autoencoder
ISSN:	0167-8655, 1872-7344
Online-Zugang:	Volltext
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