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Enhanced sparse RCNN for transmission line bolt defect detection via text-to-image data augmentation and quality filtering

Chen Zhenyu Yan Huaguang Du Jianguang Xue Meng Zhao Shuai

高技术通讯（英文版）2026，Vol.32Issue(1)：11-20,10.

高技术通讯（英文版）2026，Vol.32Issue(1)：11-20,10.DOI:10.3772/j.issn.1006-6748.2026.01.002

Enhanced sparse RCNN for transmission line bolt defect detection via text-to-image data augmentation and quality filtering

Chen Zhenyu ¹Yan Huaguang ²Du Jianguang ¹Xue Meng ³Zhao Shuai⁴

作者信息

1. Information and Telecommunication Center,State Grid Corporation of China,Beijing 100031,P.R.China
2. Information and Telecommunication Center,State Grid Corporation of China,Beijing 100031,P.R.China||China Electric Power Research Institute,Beijing 100192,P.R.China
3. State Grid Information and Telecommunication Group Co.,Ltd.,Beijing 102211,P.R.China
4. Information and Communication Branch,State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310007,P.R.China
折叠

摘要

关键词

sparse region-based convolutional neural network/HyperNetwork/image quality assessment/text-to-image generation/data augmentation/bolt defect detection/transmission line in-spection

Key words

sparse region-based convolutional neural network/HyperNetwork/image quality assessment/text-to-image generation/data augmentation/bolt defect detection/transmission line in-spection

引用本文复制引用

Chen Zhenyu,Yan Huaguang,Du Jianguang,Xue Meng,Zhao Shuai..Enhanced sparse RCNN for transmission line bolt defect detection via text-to-image data augmentation and quality filtering[J].高技术通讯（英文版）,2026,32(1):11-20,10.

基金项目

Supported by the Science and Technology Project from State Grid Corporation of China(No.5700-202490330A-2-1-ZX). （No.5700-202490330A-2-1-ZX）

高技术通讯（英文版）

ISSN：1006-6748

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