A shared Gaussian-process few-shot network, split into per-class binary tasks and initialized with SimCLR, labels seismic facies in apparently unseen datasets from just 1 or 5 annotated slices.
Few- shot learning for seismic facies segmentation via prototype learning,
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AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies
A shared Gaussian-process few-shot network, split into per-class binary tasks and initialized with SimCLR, labels seismic facies in apparently unseen datasets from just 1 or 5 annotated slices.