Evaluation of Depth Anything Models for Satellite-Derived Bathymetry
The emergence of foundation models has driven major advancements in computer vision and natural language processing, primarily due to their strong zero-shot and few-shot capabilities powered by large-scale, diverse datasets. While earlier approaches used supervised datasets, their limited scene dive...
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| Main Authors: | E. Günaydın, İ. Yakar, T. Bakırman, M. O. Selbesoğlu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-2-W10-2025/101/2025/isprs-archives-XLVIII-2-W10-2025-101-2025.pdf |
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