RSG: A Simple but Effective Module for Learning Imbalanced Datasets-Reference-Cited by-同舟云学术

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RSG: A Simple but Effective Module for Learning Imbalanced Datasets

Published:2021-06 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Wang Jianfeng,Lukasiewicz Thomas,Hu Xiaolin,Cai Jianfei,Xu Zhenghua

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9577055/9577056/09578342.pdf?arnumber=9578342

Cited by 59 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Multi-Label Text Classification by Incorporating Label Dependency to Handle Imbalanced Data;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. ProAug: Prototype-Based Augmentation for Long-Tailed Image Classification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. ECMEE: Expert Constrained Multi-Expert Ensembles with Category Entropy Minimization for Long-tailed Visual Recognition;Neurocomputing;2024-04

4. Sample-based relationship for assisting diagnosis of pneumonia in medical care;Multimedia Tools and Applications;2024-03-19

5. SWRM: Similarity Window Reweighting and Margin for Long-Tailed Recognition;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-03-08

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