Bases of Steerable Kernels for Equivariant CNNs: From 2D Rotations to the Lorentz Group
Bases of Steerable Kernels for Equivariant CNNs: From 2D Rotations to the Lorentz Group explores A theoretical exploration of steerable kernels for equivariant convolutional neural networks.. Commercial viability score: 2/10 in Equivariant CNNs.
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