Video Action Recognition Method Based on Personalized Federated Learning and Spatiotemporal Features
With the rapid development of artificial intelligence and Internet of Things technologies, video action recognition technology is widely applied in various scenarios, such as personal life and industrial production. However, ... | Find, read and cite all the research you need on Tech Science Press
Authors
- Yunji Li (ORCID: https://orcid.org/0009-0003-7583-4819)
- Jie Xu (ORCID: https://orcid.org/0000-0002-4854-8839)
- Jinhong Guo (ORCID: https://orcid.org/0000-0003-2659-3150)
- Rongsen Wu
- Shiyang Tang (ORCID: https://orcid.org/0000-0002-4323-6596)
- Yuhang Zhang (ORCID: https://orcid.org/0000-0003-3825-0796)
- Zhigang Wu (ORCID: https://orcid.org/0009-0002-0038-8423)
- Changming Zhao (ORCID: https://orcid.org/0000-0003-4360-7593)
- Yiweng Xie (ORCID: https://orcid.org/0009-0007-1040-5262)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.061396
- Citations
- 1
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- National Natural Science Foundation of China