Pedestrian detection by drones XuB LiN ZhuH XuZ ZhouHuiyu 2020 <p>The autonomous detection of UAV on ground targets is a crucial issue in intelligent cruise. In recent years,with the</p><p>rise of deep learning,convolutional neural networks have been tried to apply in the field of target recognition. This paper designs a</p><p>light-weight convolution neural network model suitable for tiny target detection under UAV. Using UAV real shot samples in the</p><p>NVIDIA-1080ti platform for verification,the processing speed is up to 82 frames / second.</p>