Lightweight recognition network for dense crowd images based on YOLO11
The model adopts MobileViT as its backbone network, which effectively enhances the overall feature extraction capability of the model in dense crowd scenarios and further aggregates pixel-level features through dimensional interaction and improves small-object detection by integrating a 160×160-scale detection head.