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Benchmarking Domain Adaptation Methods on Aerial Datasets
Deep learning grew in importance in recent years due to its versatility and excellent performance on supervised classification tasks. A core assumption for such supervised approaches is that the training and testing data are drawn from the same underlying data distribution. This may not always be th...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662429/ https://www.ncbi.nlm.nih.gov/pubmed/34884072 http://dx.doi.org/10.3390/s21238070 |