15 citations · 17 across the 5 of their papers we have counts for
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physics.geo-ph2024★ 1 cited
A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys
Hang Gao, Xinming Wu, Luming Liang +4
Seismic geobody interpretation is crucial for structural geology studies and various engineering applications. Existing deep learning methods show promise but lack support for mult…
cs.CV2024★ 1 cited
Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis
Zhixiang Guo, Xinming Wu, Luming Liang +3
We explore adapting foundation models (FMs) from the computer vision domain to geoscience. FMs, large neural networks trained on massive datasets, excel in diverse tasks with remar…