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In this proceeding we give an overview of the idea of covariance (or equivariance) featured in the recent development of convolutional neural networks (CNNs).
The foundation of the general theory of relativity
Einstein, A · 1916
Earlier work this paper cites.
Dimensional reduction in quantum gravity
’t Hooft, G · 1993
Earlier work this paper cites.
Group equivariant convolutional networks
Cohen, T. S. and Welling, M · 2016
Earlier work this paper cites.
Steerable CNNs
Cohen, T. S. and Welling, M · 2017
Earlier work this paper cites.
Harmonic Networks: Deep Translation and Rotation Equivariance
Worrall, D. E., Garbin, S. J., Turmukhambetov, D., and Brostow, G. J · 2017
Cited alongside, same era.
HexaConv
Hoogeboom, E., Peters, J. W. T., Cohen, T. S., and Welling, M · 2018
Cited alongside, same era.
Kondor, R. and Trivedi, S · 2018
Cited alongside, same era.
A General Theory of Equivariant CNNs on Homogeneous Spaces
Cohen, T., Geiger, M., and Weiler, M
Cited in the paper.
Spherical CNNs
Cohen, T. S., Geiger, M., Koehler, J., and Welling, M
Cited in the paper.
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks)
Cohen, T. S., Geiger, M., and Weiler, M
Cited in the paper.
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Weiler, M., Geiger, M., Welling, M., Boomsma, W., and Cohen, T. S
Cited in the paper.
Learning Steerable Filters for Rotation Equivariant CNNs
Weiler, M., Hamprecht, F. A., and Storath, M
Cited in the paper.
3D G-CNNs for Pulmonary Nodule Detection
Winkels, M. and Cohen, T. S · 2018
Later among the works it cites.
Cubenet: Equivariance to 3d rotation and translation
Worrall, D. E. and Brostow, G. J · 2018
Later among the works it cites.
Gauge equivariant convolutional networks and the icosahedral cnn
Cohen, T. S., Weiler, M., Kicanaoglu, B., and Welling, M · 2019
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