Leveraging Pretrained Priors for Weakly Supervised Semantic Segmentation of Remote Sensing Images
Semantic segmentation of remote sensing imagery (RSI) is essential for urban mapping, land-use monitoring, and many other domains. However, pixel-level annotation is expensive, making weakly supervised semantic segmentation (WSSS) that relies on image-level labels an attractive alternative. Pre-trai...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2026-07-01
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| coleção: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://isprs-annals.copernicus.org/articles/XI-3-2026/163/2026/isprs-annals-XI-3-2026-163-2026.pdf |
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