Geometric Deep Learning for Volumetric Computational Fluid Dynamics

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On the Relationship between Self-Attention and Convolutional Layers (2019, background): “More generally, fully-attentional models seem to learn a generalization of CNNs where the kernel pattern is learned at the same time as the ﬁlters—similar to deformable convolutions (Dai et al., 2017; Zampieri, 2019).”