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Weakly Supervised Building Semantic Segmentation Based on Spot-Seeds and Refinement Process
Automatic building semantic segmentation is the most critical and relevant task in several geospatial applications. Methods based on convolutional neural networks (CNNs) are mainly used in current building segmentation. The requirement of huge pixel-level labels is a significant obstacle to achieve...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141811/ https://www.ncbi.nlm.nih.gov/pubmed/35626624 http://dx.doi.org/10.3390/e24050741 |