Classification of Long-Tailed Data Based on Bilateral-Branch Generative Network with Time-Supervised Strategy
In the face of the long-tailed data distribution that widely exists in real-world datasets, this paper proposes a bilateral-branch generative network model. The data of the second branch is constructed by resampling the generative network training method to improve the data quality. A bilateral-bran...
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| Main Authors: | , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Hindawi-Wiley
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/ae74851cc5194039b3cbfd4bf0ff30fd |
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