Semi-supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks

Author:

Babakhin Yauhen,Sanakoyeu Artsiom,Kitamura Hirotoshi

Publisher

Springer International Publishing

Reference51 articles.

1. Bautista, M.A., Sanakoyeu, A., Tikhoncheva, E., Ommer, B.: CliqueCNN: deep unsupervised exemplar learning. In: Advances in Neural Information Processing Systems, pp. 3846–3854 (2016)

2. Bautista, M.A., Sanakoyeu, A., Ommer, B.: Deep unsupervised similarity learning using partially ordered sets. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1923–1932 (2017)

3. Bedi, J., Toshniwal, D.: SFA-GTM: seismic facies analysis based on generative topographic map and RBF. arXiv preprint arXiv:1806.00193 (2018)

4. Berman, M., Rannen Triki, A., Blaschko, M.B.: The lovász-softmax loss: a tractable surrogate for the optimization of the intersection-over-union measure in neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4413–4421 (2018)

5. Lecture Notes in Computer Science;U Büchler,2018

Cited by 44 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Self-supervised learning for efficient seismic facies classification;GEOPHYSICS;2024-09-01

2. DCL-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Toward Robust Self-Training Paradigm for Molecular Prediction Tasks;Journal of Computational Biology;2024-03-01

4. Geology-constrained dynamic graph convolutional networks for seismic facies classification;Computers & Geosciences;2024-02

5. 3-D Salt Body Segmentation Method Based on Multiview Co-Regularization;IEEE Transactions on Geoscience and Remote Sensing;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3