A radially symmetric convolution kernel, SRE-Conv, improves rotated-image classification accuracy on all 16 MedMNISTv2 tasks while using fewer parameters than standard CNNs.
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SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification
A radially symmetric convolution kernel, SRE-Conv, improves rotated-image classification accuracy on all 16 MedMNISTv2 tasks while using fewer parameters than standard CNNs.