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Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by
  Selective Tile Processing

Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing

14 November 2019
George Plastiras
C. Kyrkou
T. Theocharides
ArXiv (abs)PDFHTML

Papers citing "Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing"

4 / 4 papers shown
Title
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Vasileios Leon
Muhammad Abdullah Hanif
Giorgos Armeniakos
Xun Jiao
Mohamed Bennai
K. Pekmestzi
Dimitrios Soudris
79
3
0
20 Jul 2023
DroNet: Efficient convolutional neural network detector for real-time
  UAV applications
DroNet: Efficient convolutional neural network detector for real-time UAV applications
C. Kyrkou
George Plastiras
Stylianos I. Venieris
T. Theocharides
C. Bouganis
104
126
0
18 Jul 2018
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded
  Vision
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision
Amr Suleiman
Yu-hsin Chen
J. Emer
Vivienne Sze
49
56
0
17 Mar 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
181
15,619
0
25 Dec 2016
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