Web: http://arxiv.org/abs/2206.08158

June 17, 2022, 1:13 a.m. | Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib

cs.CV updates on arXiv.org arxiv.org

In seismic interpretation, pixel-level labels of various rock structures can
be time-consuming and expensive to obtain. As a result, there oftentimes exists
a non-trivial quantity of unlabeled data that is left unused simply because
traditional deep learning methods rely on access to fully labeled volumes. To
rectify this problem, contrastive learning approaches have been proposed that
use a self-supervised methodology in order to learn useful representations from
unlabeled data. However, traditional contrastive learning approaches are based
on assumptions from the …

arxiv cv learning segmentation semantic

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