Shared map convolutional neural networks for real-time mobile image recognition

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Abstract

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.

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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

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