Data augmentation using CycleGAN for overcoming the imbalance problem in petrophysical facies classification
Author:
Affiliation:
1. RISE.ML, Hanyang University
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2020-3427510.1
Reference21 articles.
1. Antoniou, A., A. Storkey, and H. Edwards, 2018, Augmenting image classifiers using data augmentation generative adversarial networks: In International Conference on Artificial Neural Networks, 594–603, doi: 10.1007/978-3-030-01424-7_58
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