Novel Aerial Inspection RetinaNet

Novel Aerial Inspection RetinaNet focuses on improving the accuracy and efficiency of object detection in aerial imagery, primarily for applications like search and rescue and infrastructure inspection. Research emphasizes optimizing RetinaNet, a single-stage object detection model, through techniques such as model pruning for faster inference, improved anchor assignment strategies to mitigate issues in crowded scenes, and the integration of quantum computing for enhanced speed and accuracy. These advancements are significant for enabling real-time processing of high-resolution aerial data, leading to more efficient and reliable automated analysis in various fields.