Web: http://arxiv.org/abs/2209.10944

Sept. 23, 2022, 1:14 a.m. | Jaspreet Singh, Chandan Singh

cs.CV updates on arXiv.org arxiv.org

The convolutional layers of standard convolutional neural networks (CNNs) are
equivariant to translation. However, the convolution and fully-connected layers
are not equivariant or invariant to other affine geometric transformations.
Recently, a new class of CNNs is proposed in which the conventional layers of
CNNs are replaced with equivariant convolution, pooling, and
batch-normalization layers. The final classification layer in equivariant
neural networks is invariant to different affine geometric transformations such
as rotation, reflection and translation, and the scalar value is obtained …

arxiv networks neural networks

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