Search Results for author: Stylianos Venieris

Found 2 papers, 1 papers with code

Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs

no code implementations ICML 2020 Aditya Rajagopal, Diederik Vink, Stylianos Venieris, Christos-Savvas Bouganis

Large-scale convolutional neural networks (CNNs) suffer from very long training times, spanning from hours to weeks, limiting the productivity and experimentation of deep learning practitioners.

DroNet: Efficient convolutional neural network detector for real-time UAV applications

2 code implementations18 Jul 2018 Christos Kyrkou, George Plastiras, Stylianos Venieris, Theocharis Theocharides, Christos-Savvas Bouganis

Through the analysis we propose a CNN architecture that is capable of detecting vehicles from aerial UAV images and can operate between 5-18 frames-per-second for a variety of platforms with an overall accuracy of ~95%.

Object Detection In Aerial Images One-Shot Object Detection +1

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