Open access
Aug 2026
YOLOv11 optimization for tiny object in crowded scenes
This study introduces a novel optimization framework for YOLOv11, specifically engineered for tiny-scale targets by integrating convolutional block attention modules (CBAM), k-means anchor clustering, and an enhanced feature pyramid network (FPN).
H. Husin, H. Hao, Pan-Yuan Fei et al.
· IAES International Journal o... · 0 citations