An Efficient Machine Learning-Enhanced YOLOv11 Network for Small-Scale Defect Recognition in PCB Inspection
Accurate detection of small and low-contrast printed circuit board (PCB) defects remains challenging. To address this problem, we propose SDL-YOLO, a YOLO11n-based detector designed to improve small-defect representation while controlling computational cost. A Detection-Optimized Sparse Mixture-of-Experts (DS-MOE) modu...