Long-Tailed Recognition by Hierarchical Rebalancing Dual-Classifier-Reference-Cited by-同舟云学术

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Long-Tailed Recognition by Hierarchical Rebalancing Dual-Classifier

Published:2023 Issue: Volume:11 Page:54839-54848
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Junsong¹,Gao Linsheng²^ORCID,Li Hao²,Zhou Hao³^ORCID

Affiliation:

1. School of Information and Communication Engineering, Communication University of China, Beijing, China

2. North China Institute of Science and Technology, Beijing, China

3. Department of Operational Research and Planning, Naval University of Engineering, Wuhan, China

Funder

Hubei Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10143199.pdf?arnumber=10143199

Reference51 articles.

1. The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation

2. Densely Connected Convolutional Networks

3. Learning imbalanced datasets with label-distribution-aware margin loss;cao;Proc Adv Neural Inf Process Syst,2019

4. Learning Fast Sample Re-weighting Without Reward Data

5. EfficientNet: Rethinking model scaling for convolutional neural networks;tan;Proc Int Conf Mach Learn,2019

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2. Text-Guided Diverse Image Synthesis for Long-Tailed Remote Sensing Object Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

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