Researchers have developed various algorithms to improve object detection in unmanned aerial vehicle (uav) images. These algorithms utilize techniques such as multi-scale feature fusion, receptive-field attention-based convolution, and deformable convolution to enhance detection capabilities. The specific applications and focuses of these algorithms differ, with some targeting small object detection, infrared road object recognition, or building detection in remote sensing images.