Clustering-Based Representation Learning through Output Translation and Its Application to Remote-Sensing Images
In supervised deep learning, learning good representations for remote-sensing images (RSI) relies on manual annotations. However, in the area of remote sensing, it is hard to obtain huge amounts of labeled data. Recently, self-supervised learning shows its outstanding capability to learn representat...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2022-07-01
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| Serier: | Remote Sensing |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2072-4292/14/14/3361 |
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