An Improved Insulator and Spacer Detection Algorithm Based on Dual Network and SSD-Reference-Cited by-同舟云学术

An Improved Insulator and Spacer Detection Algorithm Based on Dual Network and SSD

Published:2023-05-01 Issue:5 Volume:E106.D Page:662-672
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

LI Yong¹,WEI Shidi¹,LIU Xuan¹,LUO Yinzheng¹,LI Yafeng²,SHUANG Feng¹

Affiliation:

1. Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment, and the School of Electrical Engineering, Guangxi University

2. Institute for Automatic Control and Complex Systems, University of Duisburg-Essen

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E106.D/5/E106.D_2022DLP0062/_pdf

Reference29 articles.

1. [1] S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, no.6, pp.1137-1149, June 2017. doi: 10.1109/TPAMI.2016.2577031 10.1109/tpami.2016.2577031

2. [2] J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You Only Look Once: Unified, Real-Time Object Detection,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.779-788, 2016. doi: 10.1109/CVPR.2016.91 10.1109/cvpr.2016.91

3. [3] W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A.C. Berg, “SSD: Single shot multibox detector,” Proc. Eur. Conf. Comput. Vis. (ECCV), pp.21-37, 2016. 10.1007/978-3-319-46448-0_2

4. [4] K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,” International Conference on Learning Representations (ICLR), pp.1-14, 2015.

5. [5] K. He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.770-778, 2016. doi: 10.1109/CVPR.2016.90 10.1109/cvpr.2016.90

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