SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion

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SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion

IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023

13 December 2023

Mojtaba Najafi Khatounabad

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Papers citing "SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion"

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Title
OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform InversionNeural Information Processing Systems (NeurIPS), 2021 Chengyuan Deng Shihang Feng Hanchen Wang Xitong Zhang Peng Jin Yinan Feng Qili Zeng Yinpeng Chen Youzuo Lin AI4CE 430 63 0 04 Nov 2021
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop Peng Jin Xitong Zhang Yinpeng Chen Sharon X. Huang Zicheng Liu Youzuo Lin 183 58 0 14 Oct 2021
Deep-learning inversion: a next generation seismic velocity-model building method Fangshu Yang Jianwei Ma 131 439 0 17 Feb 2019
Deep-Learning Inversion of Seismic Data Shucai Li Bin Liu Yuxiao Ren Yangkang Chen Senlin Yang Yunhai Wang Peng-Tao Jiang 156 311 0 23 Jan 2019
Densely Connected Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2016 Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 1.9K 40,944 0 25 Aug 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 1.4K 45,631 0 11 Feb 2015
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014 Diederik P. Kingma Jimmy Ba ODL 4.7K 161,057 0 22 Dec 2014