  Object detection on Unmanned Aerial Vehicles (UAVs) is still a challenging
task. The recordings are mostly sparse and contain only small objects. In this
work, we propose a simple tiling method that improves the detection capability
in the remote sensing case without modifying the model itself. By reducing the
background bias and enabling the usage of higher image resolutions during
training, our method can improve the performance of models substantially. The
procedure was validated on three different data sets and outperformed similar
approaches in performance and speed.
