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.
Authors
- Linyu Zhang (ORCID: https://orcid.org/0000-0003-0907-675X)
- Shouchao Li
- Ke Xie (ORCID: https://orcid.org/0000-0002-8766-7742)
- Shuo Zhang (ORCID: https://orcid.org/0009-0009-1330-9246)
- Linlin Zhao
- Feng Zhao (ORCID: https://orcid.org/0000-0003-0377-2375)
- Changmin Long
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
- 0.00