-
YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart Camera Applications
Deep Learning-based object detectors can enhance the capabilities of sma...
07/27/2020 ∙ by Christos Kyrkou, et al. ∙
80
∙
share
read it
-
EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors
Visual intelligence at the edge is becoming a growing necessity for low ...
11/14/2019 ∙ by George Plastiras, et al. ∙
47
∙
share
read it
-
Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing
Many applications utilizing Unmanned Aerial Vehicles (UAVs) require the ...
11/14/2019 ∙ by George Plastiras, et al. ∙
0
∙
share
read it
-
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles
Unmanned Aerial Vehicles (UAVs), equipped with camera sensors can facili...
06/20/2019 ∙ by Christos Kyrkou, et al. ∙
20
∙
share
read it
-
DroNet: Efficient convolutional neural network detector for real-time UAV applications
Unmanned Aerial Vehicles (drones) are emerging as a promising technology...
07/18/2018 ∙ by Christos Kyrkou, et al. ∙
0
∙
share
read it
Christos Kyrkou
is this you? claim profile
∙
0
followers
University of Cyprus
∙
Imperial College London
