A small and dense target detection framework based on feature perception and adaptive fusion
Small and dense object detection remains challenging in complex visual scenes. Repeated downsampling weakens discriminative features of tiny objects, while dense object distributions cause severe feature overlap and semantic ambiguity. To address these challenges, this paper proposes Enhanced Feature-Aware YOLO (EFA-YO...