RSG: A Simple but Effective Module for Learning Imbalanced Datasets

Imbalanced datasets widely exist in practice and are a great challenge for training deep neural models with a good generalization on infrequent classes. In this work, we propose a new rare-class sample generator (RSG) to solve this problem. RSG aims to generate some new samples for rare classes duri...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 3783 - 3792
Hlavní autori:	Wang, Jianfeng, Lukasiewicz, Thomas, Hu, Xiaolin, Cai, Jianfei, Xu, Zhenghua
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2021
Predmet:	Codes Computer vision Convolutional neural networks Deep learning Generators Pattern recognition Training
ISSN:	1063-6919
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