Abstract: Deep learning has been widely applied to seismic data interpolation. However, most existing methods are based on supervised learning, suffering from limitations such as low generalization ...
Abstract: Convolutional neural networks (CNNs) have attracted considerable interest in seismic interpolation, in these networks, convolution operators are adopted to extract the features of seismic ...
Lei Sun, Daniel Gehrig, Christos Sakaridis, Mathias Gehrig,Jingyun Liang, Peng Sun, Zhijie Xu, Kaiwei Wang, Luc Van Gool, and Davide Scaramuzza Work done in Robotics and Perception Group, UZH. HighREV ...
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