Speeding up convolutional neural networks with low rank expansions

The focus of this paper is speeding up the application of convolutional neural networks. While delivering impressive results across a range of computer vision and machine learning tasks, these networks are computationally demanding, limiting their deployability. Convolutional layers generally consum...

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Detalhes bibliográficos
Main Authors: Jaderberg, M, Vedaldi, A, Zisserman, A
Formato: Conference item
Publicado em: BMVA Press 2014