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Ilias Theodorakopoulos, Foteini Fotopoulou and George Economou
In this work, we propose a mechanism for knowledge transfer between Convolutional Neural Networks via the geometric regularization of local features produced by the activations of convolutional layers. We formulate appropriate loss functions, driving a ?...
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