16 citations · 26 across the 5 of their papers we have counts for
4 papers · 1 filter
PowerYOLO: Mixed Precision Model for Hardware Efficient Object Detection with Event Data
Dominika Przewlocka-Rus, Tomasz Kryjak, Marek Gorgon
The performance of object detection systems in automotive solutions must be as high as possible, with minimal response time and, due to the often battery-powered operation, low ene…
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation
Dominika Przewlocka-Rus, Tomasz Kryjak
Deep neural networks virtually dominate the domain of most modern vision systems, providing high performance at a cost of increased computational complexity.Since for those systems…
Towards real-time and energy efficient Siamese tracking -- a hardware-software approach
Dominika Przewlocka-Rus, Tomasz Kryjak
Siamese trackers have been among the state-of-the-art solutions in each Visual Object Tracking (VOT) challenge over the past few years. However, with great accuracy comes great com…
Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier
Dominika Przewlocka-Rus, Marcin Kowalczyk, Tomasz Kryjak
Deep learning algorithms are a key component of many state-of-the-art vision systems, especially as Convolutional Neural Networks (CNN) outperform most solutions in the sense of ac…