Multi-Fitting Detection on Transmission Line Based on Cascade Reasoning Graph Network

Author:

Zhai Yongjie1ORCID,Wang Qianming1ORCID,Yang Xu1ORCID,Zhao Zhenbing2ORCID,Zhao Wenqing1ORCID

Affiliation:

1. School of Control and Computer Engineering, North China Electric Power University, Baoding, China

2. School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China

Funder

Robot semantic perception and interaction cooperation

Research on transmission line bolts surface state detection method based on deep visual knowledge representation

Research on micro vision defect detection model of transmission line bolts based on region analysis

Research on Zero-Sample Fault Detection Method of Transmission Line Fusing Domain Knowledge

Deep visual perceptual and cognitive models for surface defect detection of massive bolts

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference39 articles.

1. CoupleNet: Coupling Global Structure with Local Parts for Object Detection

2. R-FCN: Object detection via region-based fully convolutional networks;dai;Proc 30th Int Conf Neural Inf Process Syst,0

3. Cascade R-CNN: Delving Into High Quality Object Detection

4. Relation Networks for Object Detection

5. Intrinsic relationship reasoning for small object detection;fu,2020

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