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Semi-supervised adversarial discriminative domain adaptation
Domain adaptation is a potential method to train a powerful deep neural network across various datasets. More precisely, domain adaptation methods train the model on training data and test that model on a completely separate dataset. The adversarial-based adaptation method became popular among other...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707164/ https://www.ncbi.nlm.nih.gov/pubmed/36466775 http://dx.doi.org/10.1007/s10489-022-04288-4 |