Driver distraction detection method based on YOLOv11s
This paper proposes a driver distraction detection method based on the improved YOLOv11s that introduces an efficient multi-scale attention (EMA) mechanism in the neck network, enhancing the feature extraction capability through multi-scale feature extraction and cross-space learning architecture.