One-Stage detection algorithm is a major technical genre in object detection, which integrates object localization and category classification into a single regression or classification task without an independent candidate region generation stage. Representative algorithms include YOLO series, SSD, RetinaNet, etc. The core advantage is fast inference speed, suitable for real-time detection scenarios.
