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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: Y. Lin, K. Suzuki, S. Sogo
Formato: Artigo
Idioma:Inglês
Publicado em: Copernicus Publications 2024-06-01
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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