计算机科学
变压器
绝缘体(电)
数据挖掘
计算机视觉
人工智能
工程类
电气工程
电压
作者
Hong Li,Pengpeng Zhang,Shidang Xu,Mengshen Dou
摘要
It is a challenge to detecting insulators quickly and correctly from complex and variable images of power line. An insulator detection method based on DN-DETR model is proposed in this paper. DN-DETR is an end-to-end object detection model based on the transformer model. Self-attention of transformer can obtain the global information of image quickly and correctly. Experiments show that our model converges quickly, and precision achieves 89.6% at 50 epochs.
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