Abstract: Open-vocabulary remote sensing (RS) semantic segmentation strives to assign both seen and unseen class labels to individual pixels in RS images. Existing models follow the “fine-tune” ...
Abstract: Using semantic segmentation networks to intelligently categorize remote sensing images (RSIs) is essential for urban planning, land use, and environmental monitoring. However, the complexity ...
Abstract: Recently, test-time adaptation has attracted wide interest in the context of vision-language models for image classification. However, to the best of our knowledge, the problem is completely ...
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