Two-stage detection algorithm is a classic technical genre in object detection. The detection process is divided into two core stages. The first stage generates candidate regions that may contain objects, and the second stage classifies and refines the positions of the candidate regions. Representative algorithms include the Faster R-CNN series, which have excellent accuracy performance and are suitable for scenarios with high detection accuracy requirements and loose real-time requirements.
