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A conditional GAN-based approach for enhancing transfer learning performance in few-shot HCR tasks
Supervised learning with the restriction of a few existing training samples is called Few-Shot Learning. FSL is a subarea that puts deep learning performance in a gap, as building robust deep networks requires big training data. Using transfer learning in FSL tasks is an acceptable way to avoid the...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520122/ https://www.ncbi.nlm.nih.gov/pubmed/36175593 http://dx.doi.org/10.1038/s41598-022-20654-1 |