Empirical Evidence Regarding Few-Shot Learning for Scene Classification in Remote Sensing Images
Few-shot learning (FSL) is a learning paradigm which aims to address the issue of machine/deep learning techniques which traditionally need huge amounts of labelled data to work out. The remote sensing (RS) community has explored this paradigm with numerous published studies to date. Nevertheless, t...
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| Formato: | Artigo |
| Idioma: | Inglês |
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MDPI AG
2024-11-01
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| Series: | Applied Sciences |
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| Acceso en liña: | https://www.mdpi.com/2076-3417/14/23/10776 |
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