Aiming at the problems of low detection accuracy of multiple small target defects and lack of robustness in complex environments in intelligent inspection of transmission line UAVs,a target detection model of cascade distillation transmission line based on bionic vision backbone is proposed.Firstly,two efficient modules sharing the backbone net-work are designed to construct a cascade distillation structure,namely,dynamic anchor frame distillation module and dynamic anchor frame extraction module,the former is responsible for roughly finding the area of possible targets,and the latter is responsible for refining the area,so as to propose a new progressive target detection method to solve the problem of missing detection of occluded targets in transmission lines.Secondly,a biomimetic feature extraction back-bone network is constructed,and the feature extraction ability of the backbone network for smaller targets in the line is improved by fully aggregating the context information by mimicking the biological receptive field.Then,the peripheral vision module is designed,and the interaction intensity of local information is controlled by using the unique visual mechanism of humans to overcome the interference of complex and changeable backgrounds in transmission lines on the model.Finally,a dataset of transmission line targets is constructed,and the generalization and robustness of the model are verified by simulation experiments.
关键词
电力巡检/周边视觉注意力机制/高阶空间交互/视觉变压器/级联蒸馏架构
Key words
power inspection/peripheral visual attention mechanisms/high-order spatial interaction/detection transformer/cascade distillation architecture
维普
万方数据