In recent years, there has been a rise in drowning accidents in swimming pools. As a result, there is a growing interest in using deep learning methods to detect drowning incidents. However, current research has identified several issues with existing drowning detection methods, including poor real-time performance, a high number of parameters, and extensive calculations. To address these problems, a lightweight and real-time drowning detection algorithm, YPMNet, was developed. This algorithm utilizes the MobileNetV3 lightweight network to reconstruct the YOLOPose backbone network, resulting i...
