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Multi-resolution neural networks for tracking seismic horizons from few
  training images

Multi-resolution neural networks for tracking seismic horizons from few training images

26 December 2018
Bas Peters
J. Granek
E. Haber
ArXivPDFHTML

Papers citing "Multi-resolution neural networks for tracking seismic horizons from few training images"

5 / 5 papers shown
Title
Deep Bayesian inference for seismic imaging with tasks
Deep Bayesian inference for seismic imaging with tasks
Ali Siahkoohi
G. Rizzuti
Felix J. Herrmann
BDL
UQCV
38
21
0
10 Oct 2021
Point-to-set distance functions for weakly supervised segmentation
Point-to-set distance functions for weakly supervised segmentation
Bas Peters
18
1
0
27 Jul 2020
Uncertainty quantification in imaging and automatic horizon tracking: a
  Bayesian deep-prior based approach
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach
Ali Siahkoohi
G. Rizzuti
Felix J. Herrmann
25
20
0
01 Apr 2020
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an
  Ensemble of Convolutional Neural Networks
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks
Yauhen Babakhin
A. Sanakoyeu
Hirotoshi Kitamura
24
59
0
09 Apr 2019
Neural-networks for geophysicists and their application to seismic data
  interpretation
Neural-networks for geophysicists and their application to seismic data interpretation
Bas Peters
E. Haber
J. Granek
AI4CE
22
36
0
27 Mar 2019
1