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Relieving the Incompatibility of Network Representation and Classification for Long-Tailed Data Distribution

In the real-world scenario, data often have a long-tailed distribution and training deep neural networks on such an imbalanced dataset has become a great challenge. The main problem caused by a long-tailed data distribution is that common classes will dominate the training results and achieve a very...

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Detalles Bibliográficos
Autores principales: Hu, Hao, Gao, Mengya, Wu, Mingsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8723848/
https://www.ncbi.nlm.nih.gov/pubmed/34987568
http://dx.doi.org/10.1155/2021/6702625