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H. Husin

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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. · 0 citations

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