A Quantitative Comparison of Two Convolutional Neural Network Architectures - Seismic Data Interpolation as Example

References

1. Fomel, S.
   [2002]. Applications of plane-wave destruction filters. Geophysics, 67(6), 1946–1960.
   [Google Scholar]
2. Goodfellow, I., Bengio, Y., and Courville, A.
   [2016]. Deep learning. MIT press.
   [Google Scholar]
3. Iizuka, S., Simo-Serra, E. and Ishikawa, H.
   [2017]. Globally and locally consistent image completion. ACM Transactions on Graphics (TOG), 36(4), 107.
   [Google Scholar]
4. Kingma, D. and Ba, J.
   [2015]. Adam: A method for stochastic optimization. In: ICLR 2015. 1–15.
   [Google Scholar]
5. LeCunY, BottouL, BengioY, and HaffnerP.
   [1998]. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278–2324.
   [Google Scholar]
6. Shannon, C. E.
   [1949]. Communication in the presence of noise. Proceedings of the IRE,37(1), 10–21.
   [Google Scholar]
7. ThomsonD, HennenfentG, and ModzelewskiH
   et al.. [2006] A parallel windowed fast discrete curvelet transform applied to seismic processing. In SEG Technical Program Expanded Abstracts 2006. Society of Exploration Geophysicists, 2767–2771.
   [Google Scholar]
8. Vincent, P., Larochelle, H., Bengio, Y., and Manzagol, P. A.
   [2008]. Extracting and composing robust features with denoising autoencoders. In: Proceedings of the 25th international conference on Machine learning. 1096–1103.
   [Google Scholar]
9. Wang, Z., and Li, Y
   . [1994]. Trace interpolation using wavelet transform. In: SEG Technical Program Expanded Abstracts 1994. Society of Exploration Geophysicists, 729–730.
   [Google Scholar]
10. Yang, C., Lu, X., Lin, Z., Shechtman, E., Wang, O. and Li, H.
    [2016]. High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis. arXiv preprint arXiv:1611.09969.
    [Google Scholar]