Hybrid ResNet based on joint basic and attention modules for long-tailed classification-Reference-Cited by-同舟云学术

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Hybrid ResNet based on joint basic and attention modules for long-tailed classification

Published:2022-11 Issue: Volume:150 Page:83-97
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Zhao Wei,Su Yuling,Hu Minjie,Zhao Hong^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference45 articles.

1. Learning from imbalanced data;He;IEEE Trans. Knowl. Data Eng.,2009

2. Large-scale long-tailed recognition in an open world;Liu,2019

3. Imagenet classification with deep convolutional neural networks;Krizhevsky;Adv. Neural Inf. Process. Syst.,2012

4. Going deeper with convolutions;Szegedy,2015

5. Exploring the limits of weakly supervised pretraining;Mahajan,2018

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