77 citations · 92 across the 2 of their papers we have counts for
3 papers
EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors
George Plastiras, Christos Kyrkou, Theocharis Theocharides
Visual intelligence at the edge is becoming a growing necessity for low latency applications and situations where real-time decision is vital. Object detection, the first step in v…
Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing
George Plastiras, Christos Kyrkou, Theocharis Theocharides
Many applications utilizing Unmanned Aerial Vehicles (UAVs) require the use of computer vision algorithms to analyze the information captured from their on-board camera. Recent adv…
DroNet: Efficient convolutional neural network detector for real-time UAV applications
Christos Kyrkou, George Plastiras, Stylianos Venieris +2
Unmanned Aerial Vehicles (drones) are emerging as a promising technology for both environmental and infrastructure monitoring, with broad use in a plethora of applications. Many su…