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Found 2 papers, 1 papers with code
Optimizing a Transformer-based network for a deep learning seismic processing workflow
StorSeismic is a recently introduced model based on the Transformer to adapt to various seismic processing tasks through its pretraining and fine-tuning training strategy.
StorSeismic: A new paradigm in deep learning for seismic processing
We present StorSeismic, as a framework for seismic data processing, which consists of neural network pre-training and fine-tuning procedures.
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