most cited3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement

11 citations · 11 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2019

Meta-Learning Initializations for Image Segmentation

Sean M. Hendryx, Andrew B. Leach, Paul D. Hein +1

We extend first-order model agnostic meta-learning algorithms (including FOMAML and Reptile) to image segmentation, present a novel neural network architecture built for fast learn…

eess.IV2019★ 11 cited

3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement

Praneet Dutta, Bruce Power, Adam Halpert +10

We propose GAN-based image enhancement models for frequency enhancement of 2D and 3D seismic images. Seismic imagery is used to understand and characterize the Earth's subsurface f…