Miss Detection

Miss detection, the failure to identify relevant events or objects, is a critical challenge across diverse fields, hindering accurate diagnosis, security systems, and autonomous driving. Current research focuses on improving detection rates through advanced algorithms, such as incorporating human expertise with AI in medical imaging, employing enhanced keypoint extraction and iterative localization in image forensics, and developing hierarchical monitoring systems for autonomous vehicle perception. These advancements aim to reduce false negatives and improve the reliability of automated systems, impacting fields ranging from healthcare and security to transportation safety.