Lightweight multiscale object detection for complex weather conditions
To address the challenges of object detection in complex weather conditions, including occlusion, blurred boundaries, and small object perception, this paper proposes a lightweight detection model based on YOLOv11n. First, PP-LCNet is adopted as the backbone to reduce the parameter size and computational complexity. Se...