P-nets: Deep Polynomial Neural Networks

CVPR 2020 Grigorios G. Chrysos Stylianos Moschoglou Giorgos Bouritsas Yannis Panagakis Jiankang Deng Stefanos Zafeiriou

Deep Convolutional Neural Networks (DCNNs) is currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning. The success of DCNNs can be attributed to the careful selection of their building blocks (e.g., residual blocks, rectifiers, sophisticated normalization schemes, to mention but a few)... (read more)

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