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Found 3 papers, 1 papers with code
Weighted Monte Carlo augmented spherical Fourier-Bessel convolutional layers for 3D abdominal organ segmentation
Filter-decomposition-based group equivariant convolutional neural networks show promising stability and data efficiency for 3D image feature extraction.
Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network
Experiments on group equivariance tests show how our methods can achieve superior performance to parameter-sharing group equivariant networks.
Texture variation adaptive image denoising with nonlocal PCA
For texture-preserving denoising of each cluster, considering that the variations in texture are captured and wrapped in not only the between-dimension energy variations but also the within-dimension variations of PCA transform coefficients, we further propose a PCA-transform-domain variation adaptive filtering method to preserve the local variations in textures.
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