Researchers are exploring various methods for object detection in aerial images, including the use of cross-modal edge-enhanced detectors and other algorithms such as YOLO and transformer-based architectures. These methods are being applied to a range of applications, including defect detection, search and rescue, and disease detection in crops. The development of these technologies aims to improve the accuracy and efficiency of object detection in complex environments, including those with low light or haze.