Research on Key Technologies of Power Equipment Target Recognition Based on Visual Large Model

Based on high-precision pre-training segmentation large model training technology, this paper uses model fine-tuning technology, pre-training segmentation large model training technology and channel pruning segmentation large model compression technology based on the independence of feature maps to carry out high-efficiency model training, forming a key component identification model of transmission lines and power grid towers, effectively improving the automation and intelligence level of power grid equipment operation and maintenance. This method reduces the input cost of intelligent inspection.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/iciscae62304.2024.10761625
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
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Research on Key Technologies of Power Equipment Target Recognition Based on Visual Large Model

Linyu Zhang, Shouchao Li, Ke Xie, Shuo Zhang et al.
Industrial Vision Systems and Defect Detection
article

Research on Key Technologies of Power Equipment Target Recognition Based on Visual Large Model

Linyu Zhang, Shouchao Li, Ke Xie, Shuo Zhang, Linlin Zhao, Feng Zhao, Changmin Long
article en

Abstract

Based on high-precision pre-training segmentation large model training technology, this paper uses model fine-tuning technology, pre-training segmentation large model training technology and channel pruning segmentation large model compression technology based on the independence of feature maps to carry out high-efficiency model training, forming a key component identification model of transmission lines and power grid towers, effectively improving the automation and intelligence level of power grid equipment operation and maintenance. This method reduces the input cost of intelligent inspection.

Affordable and clean energy
Openalex Percentile: Top 68%
Industrial Vision Systems and Defect Detection
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