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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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 3783 - 3792
Main Authors:	Wang, Jianfeng, Lukasiewicz, Thomas, Hu, Xiaolin, Cai, Jianfei, Xu, Zhenghua
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2021
Subjects:	Codes Computer vision Convolutional neural networks Deep learning Generators Pattern recognition Training
ISSN:	1063-6919
Online Access:	Get full text
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