APPLICABILITY OF COORDINATE SYSTEM INDEPENDENT NEURAL NETWORKS ON COMPLICATED SYSTEMS

Author:

ZHANG Siwei1,HORI Muneo2

Affiliation:

1. Graduate School of Engineering, The University of Tokyo

2. Japan Agency for Marine-Earth Science and Technology

Publisher

Japan Society of Civil Engineers

Reference15 articles.

1. 1) Zhang, S. and Hori, M. : Development of coordinate system independent neural network, Proceedings of Symposium on Applied Mechanics, No. 22013-19-06, 2023.

2. 2) Shorten, C. and Khoshgoftaar, T. M. : A survey on image data augmentation for deep learning, Journal of Big Data, Vol. 6, No. 1, pp. 1-48, 2019.

3. 3) Cheng, G., Zhou, P. and Han, J. : Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images, IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 12, pp. 7405-7415, 2016.

4. 4) Kang, J., Fernandez-Beltran, R., Wang, Z., Sun, X., Ni, J. and Plaza, A. : Rotation-invariant deep embedding for remote sensing images, IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, pp. 1-13, 2022.

5. 5) Schütt, K., Kindermans, P. J., Sauceda Felix, H. E., Chmiela, S., Tkatchenko, A. and Müller, K. R. : SchNet: A continuous-filter convolutional neural network for modeling quantum interactions, Advances in Neural Information Processing Systems, Vol. 30, 2017.

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