Sparse point annotations for remote sensing image segmentation
Abstract In the realm of deep learning, fine-grained semantic segmentation of Remote Sensing Images (RSIs) requires densely annotated pixel samples. However, acquiring such precise labels for training often incurs substantial financial and human costs. While point annotations are easier to acquire t...
Gorde:
| Egile Nagusiak: | , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Portfolio
2025-07-01
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| Saila: | Scientific Reports |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1038/s41598-025-12969-6 |
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