no code implementations • 24 May 2023 • Arturo Salmi, Szabolcs Cséfalvay, James Imber
Application of realism enhancement methods, particularly in real-time and resource-constrained settings, has been frustrated by the expense of existing methods.
no code implementations • 30 Jan 2023 • Szabolcs Cséfalvay, James Imber
This work focuses on reducing neural network size, which is a major driver of neural network execution time, power consumption, bandwidth, and memory footprint.
no code implementations • 18 Nov 2019 • Patrick Hansen, Alexey Vilkin, Yury Khrustalev, James Imber, David Hanwell, Matthew Mattina, Paul N. Whatmough
In this work, we investigate the efficacy of the ISP in CNN classification tasks, and outline the system-level trade-offs between prediction accuracy and computational cost.