Liu et al. [10] achieved an average detection accuracy of 85.45% using the Relief feature selection algorithm with a VGG (Visual Geometry Group) network combined with an attention mechanism. Xu et al. [11] used a two-stage target detection model to identify and achieve 82.42% accuracy. ...