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3D Convolutional Neural Networks are sensitive to transformations applied to their input.
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Li, J., Yang, Z., Liu, H., Cai, D.: · 2017
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Interpretable transformations with encoder-decoder networks
Worrall, D.E., Garbin, S.J., Turmukhambetov, D., Brostow, G.J.: · 2017
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Dynamic routing between capsules
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On the generalization of equivariance and convolution in neural networks to the action of compact groups (2018)
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