Feature balanced re-enhanced network with multi-factor margin loss for long-tailed visual recognition-Reference-Cited by-同舟云学术

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Feature balanced re-enhanced network with multi-factor margin loss for long-tailed visual recognition

Published:2024-12 Issue: Volume:610 Page:128530
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Yaoyao,Zhai Junhai^ORCID

Funder

Hebei University

Publisher

Elsevier BV

Reference69 articles.

1. Imagenet large scale visual recognition challenge;Russakovsky;Int. J. Comput. Vis.,2015

2. Microsoft coco: Common objects in context;Lin,2014

3. Places: A 10 million image database for scene recognition;Zhou;IEEE Trans. Pattern Anal. Mach. Intell.,2017

4. SMOTE: synthetic minority over-sampling technique;Chawla;J. Artif. Intell. Res.,2002

5. Z. Zhang, T. Pfister, Learning fast sample re-weighting without reward data, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021, pp. 725–734.

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