Research on Dense-Tiny Object Detection Method of Transmission Line Based on Dynamic NMS-Reference-Cited by-同舟云学术

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Research on Dense-Tiny Object Detection Method of Transmission Line Based on Dynamic NMS

Published:2023-03-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence
language:
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Author:

Dong Yanjun¹^ORCID,Wang Shigeng²^ORCID,Yin Xiaoyu³^ORCID,Chen Xi³^ORCID,Peng Jiao³^ORCID

Affiliation:

1. Operation and Maintenance Center, State Grid Harbin Power Supply Company, China

2. School of Computer Science, Beijing University of Posts and Telecommunications, China

3. Production Operations Department, State Grid Hebei Electric Power Company Limited Information and Communication Branch, China

Funder

State Grid Hebei Electric Power Co., Ltd

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594315.3594319

Reference32 articles.

1. Condition monitoring of 11 kV distribution system insulators incorporating complex imagery using combined DOST-SVM approach

2. The Flocs Target Detection Algorithm Based on the Three Frame Difference and Enhanced Method of the Otsu

3. An Experimental Comparison of Face Detection Algorithms

4. IN-YOLO: Real-Time Detection of Outdoor High Voltage Insulators Using UAV Imaging

5. Zhenbing Zhao , Xueliang Wu , Yincheng Qi , Liqiang Nie , and Bin Lv. 2020. A knowledge-guided model of fitting detection in aerial transmission line images.Energy Reports 6 ( 2020 ), 1071–1078. Zhenbing Zhao, Xueliang Wu, Yincheng Qi, Liqiang Nie, and Bin Lv. 2020. A knowledge-guided model of fitting detection in aerial transmission line images.Energy Reports 6 (2020), 1071–1078.

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