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Jan Gerken

2 accepted papers

2022

Equivariance versus Augmentation for Spherical Images

ICML 2022spotlight

We analyze the role of rotational equivariance in convolutional neural networks (CNNs) applied to spherical images. We compare the performance of the group equivariant networks known as S2CNNs and standard non-equivariant CNNs trained with an increasing amount of data augmentation. The chosen archit…