Improved ViT Multimodal Anomaly Detection for Electricity equipment-Reference-Cited by-同舟云学术

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Improved ViT Multimodal Anomaly Detection for Electricity equipment

Published:2023-11-03 Issue: Volume:31 Page:444-447
ISSN:
Container-title:2023 10th International Forum on Electrical Engineering and Automation (IFEEA)
language:
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Author:

Zhang Xinwei¹,Wang Yuelong²,Qin Ruofeng³,Zhang Hailong²,Shao Wenguo²,Li Yanzhao²,Pang Yonglin¹

Affiliation:

1. State Grid Inner Mongolia Eastern Power Co., Ltd.,Electric Power Research Institute Inner,Mongolia,China

2. State Grid Inner Mongolia Eastern Power Co., LTD.,Inner Mongolia Ultra High Voltage Branch,Inner Mongolia,China

3. State Grid Inner Mongolia Eastern Power Co., Ltd.,Inner Mongolia,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428931/10428946/10429598.pdf?arnumber=10429598

Reference10 articles.

1. Location and detection for self-explode insulator based on vision[J];Junping;Journal of Electronic Measurement and Instrumentation,2017

2. Insulator location method based on Hough transformation and RANSAC algorithm [J];Xinping;Electronic Measurement Technology,2017

3. Three things everyone should know to improve object retrieval

4. Detection of power poles based on fusion of geographical location information [J];Changan;Journal of Huazhong University of Science and Technology

5. Electric equipment image recognition based on deep learning and random forest [J];Junfeng;High Voltage Engineering,2017

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