Pretrain-to-alignment learning paradigm to improve geophysical AI applicability under scarce field labels and synthetic-to-field gaps: A case study of relative geologic time estimation in global shelf-edge clinothems

Fuente: arXiv

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Bibliographic Details
Main Authors:	Gao, Hui, Wu, Xinming, Yang, Jiarun, Gao, Zhixiang, Dou, Yimin
Format:	Preprint
Published:	2026
Subjects:	Geophysics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2605.16783