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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 ondoi:10.1007/978-3-030-11012-3_7 fatcat:q4oiyawaifgg3j75drlg2hmjlu