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We present a convolutional network that is equivariant to rigid body motions.
Group-Theoretical Methods in Image Understanding
Kenichi Kanatani · 1990
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Group equivariant convolutional networks
Taco S Cohen and Max Welling · 2016
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Sander Dieleman, Jeffrey De Fauw, and Koray Kavukcuoglu · 2016
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Steerable CNNs
Taco S Cohen and Max Welling · 2017
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Spherical CNNs
Taco S. Cohen, Mario Geiger, Jonas Köhler, and Max Welling · 2018
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Matrix capsules with EM routing
Geoffrey Hinton, Nicholas Frosst, and Sabour Sara · 2018
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HexaConv
Emiel Hoogeboom, Jorn W T Peters, Taco S Cohen, and Max Welling · 2018
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Predicting molecular properties with covariant compositional networks
Truong Son Hy, Shubhendu Trivedi, Horace Pan, Brandon M. Anderson, and Risi Kondor · 2018
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Design and processing of invertible orientation scores of 3d images
Michiel HJ Janssen, Augustus JEM Janssen, Erik J Bekkers, Javier Oliván Bescós, and Remco Duits · 2018
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The hessian of axially symmetric functions on se (3) and application in 3d image analysis
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Equivariance through parameter-sharing
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Dynamic routing between capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton · 2017
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Learning steerable filters for rotation equivariant CNNs
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