Transmission Facility Detection with Feature-Attention Multi-Scale Robustness Network and Generative Adversarial Network
This paper proposes an automated detection framework for transmission facilities using a feature-attention multi-scale robustness network (FAMSR-Net) with high-fidelity virtual images. The proposed framework exhibits three ke... | Find, read and cite all the research you need on Tech Science Press
Authors
- Munsu Jeon
- Seung-Min Joo
- Ki‐Yong Oh (ORCID: https://orcid.org/0000-0003-2895-4749)
- Min Ku Kim (ORCID: https://orcid.org/0000-0002-2576-5793)
- Junsoo Kim
- Yun-Ho Na
- Joon-Young Park (ORCID: https://orcid.org/0000-0002-1692-182X)
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.066447
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00