Practical Techniques for Vision-Language Segmentation Model in Remote Sensing
Traditional semantic segmentation models often struggle with poor generalizability in zero-shot scenarios such as recognizing attributes unseen in the training labels. On the other hands, language-vision models (VLMs) have shown promise in improving performance on zero-shot tasks by leveraging seman...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2024-06-01
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| coleção: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://isprs-archives.copernicus.org/articles/XLVIII-2-2024/203/2024/isprs-archives-XLVIII-2-2024-203-2024.pdf |
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