A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV Imagery
[chapter]
2019
Landolt-Börnstein - Group III Condensed Matter
On-board real-time vehicle detection is of great significance for UAVs and other embedded mobile platforms. We propose a computationally inexpensive detection network for vehicle detection in UAV imagery which we call ShuffleDet. In order to enhance the speed-wise performance, we construct our method primarily using channel shuffling and grouped convolutions. We apply inception modules and deformable modules to consider the size and geometric shape of the vehicles. ShuffleDet is evaluated on
doi:10.1007/978-3-030-11012-3_7
fatcat:q4oiyawaifgg3j75drlg2hmjlu