Cross‐Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis
Abstract We explore adapting foundation models (FMs) from the computer vision domain to geoscience. FMs, which are large neural networks trained on massive data sets, excel in diverse tasks with remarkable adaptability and generality. However, geoscience faces challenges like lacking curated trainin...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
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| Series: | Journal of Geophysical Research: Machine Learning and Computation |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2025JH000601 |
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