Video Action Recognition Method Based on Personalized Federated Learning and Spatiotemporal Features
Source abstract
Abstract
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
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Anomaly Detection Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (25)
Show source-provided references
1. Action recognition and detection based on deep learning: a comprehensive summary
2. Solution of wide and micro background bias in contrastive action representation learning10.1016/j.engappai.2024.108244 ↗
3. Human interaction recognition in surveillance videos using hybrid deep learning and machine learning models
4. A fast human action recognition network based on spatio-temporal features10.1016/j.neucom.2020.04.150 ↗
5. Federated learning: challenges, methods, and future directions
6. Federated learning: applications, security hazards and defense measures
7. Advances and open problems in federated learning
8. Federated learning on internet of things: extensive and systematic review
9. Lung cancer detection via federated learning
10. Zhao Y, Liu H, Li H, Barnaghi P, Haddadi H. Semi-supervised federated learning for activity recognition. arXiv:2011.00851. 2020.
11. FedAffect: few-shot federated learning for facial expression recognition
12. Federated self-supervised learning for video understanding
13. Federated learning-based driver activity recognition for edge devices
14. FedFSLAR: a federated learning framework for few-shot action recognition
15. Cefdet: cognitive effectiveness network based on fuzzy inference for action detection
16. Bayesian nonparametric federated QÀ learning of neural networks
17. Zhao Y, Li M, Lai L, Suda N, Civin D, Chandra V. Federated learning with non-iid data. arXiv:1806.00582. 2018.
18. TSM: temporal shift module for efficient video understanding
19. Manet: motion-aware network for video action recognition10.1007/s40747-024-01774-9 ↗
20. TDN: temporal difference networks for efficient action recognition
21. High-order correlation network for video recognition
22. F2D-SIFPNet: a frequency 2D Slow-I-Fast-P network for faster compressed video action recognition10.1007/s10489-024-05408-y ↗
23. Li B, Chen J, Zhang D, Bao X, Huang D. Representation learning for compressed video action recognition via attentive cross-modal interaction with motion enhancement. arXiv:2205.03569. 2022.10.24963/ijcai.2022/148 ↗
24. A progressive difference method for capturing visual tempos on action recognition10.1109/TCSVT.2022.3207518 ↗
25. CANet: comprehensive attention network for video-based action recognition10.1016/j.knosys.2024.111852 ↗