Improved Road Extraction Models through Semi-Supervised Learning with ACCT
Improving the performance and reducing the training cost of road extraction models in the absence of samples is important for updating road maps. Despite the success of recent road extraction models on standard datasets, they often fail to perform when applied to new datasets or real-world scenarios...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2024-09-01
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| Col·lecció: | ISPRS International Journal of Geo-Information |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2220-9964/13/10/347 |
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