We present a technique for improving the speed of a convolutional neural network applied to large input images through the optimization of the sliding window approach. Meaningful performance gains and memory bandwidth reduction can be obtained by processing images in this manner, factors which play a crucial role in the deployment of deep neural networks within mobile devices. © Springer International Publishing Switzerland 2014.
CITATION STYLE
Raveane, W., & Arrieta, M. A. G. (2014). Shared map convolutional neural networks for real-time mobile image recognition. In Advances in Intelligent Systems and Computing (Vol. 290, pp. 485–492). Springer Verlag. https://doi.org/10.1007/978-3-319-07593-8_56
Mendeley helps you to discover research relevant for your work.