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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| 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 |