A latent-variable label refinement scheme trains a U-Net to pick seismic first breaks while correcting noisy manual labels, improving accuracy over standard baselines.
Distributed sensing of microseisms and teleseisms with submarine dark fibers,
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Simultaneous Automatic Picking and Manual Picking Refinement for First-Break
A latent-variable label refinement scheme trains a U-Net to pick seismic first breaks while correcting noisy manual labels, improving accuracy over standard baselines.