Multi‐scale feature learning and temporal probing strategy for one‐stage temporal action localization-Reference-Cited by-同舟云学术

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Multi‐scale feature learning and temporal probing strategy for one‐stage temporal action localization

Published:2021-10-18 Issue: Volume: Page:
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Yao Leiyue¹²^ORCID,Yang Wei¹^ORCID,Huang Wei²^ORCID,Jiang Nan³^ORCID,Zhou Bingbing¹^ORCID

Affiliation:

1. School of Information Engineering, Jiangxi University of Technology Nanchang JiangXi China

2. School of Information Engineering, Nanchang University Nanchang JiangXi China

3. School of Information Engineering, East China Jiaotong University Nanchang JiangXi China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22713

Reference45 articles.

1. Advances in human action recognition: an updated survey

2. A Comparative Review of Recent Kinect-Based Action Recognition Algorithms

3. A Survey on Temporal Action Localization

4. Going deeper into action recognition: A survey

5. Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Spatial-Temporal Feature Fusion Strategy for Skeleton-Based Action Recognition;2023 International Conference on Data Security and Privacy Protection (DSPP);2023-10-16

2. Recognizing A Complex Human Behaviour with Zero Video Training Sample Base on Human Montion Data Encoding;2023 International Conference on Data Security and Privacy Protection (DSPP);2023-10-16

3. Research on Quick Compliance Audit Technology for Information Operation and Maintenance Maintenance Process Scenarios Based on Artificial Intelligence Recognition;Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum;2023-09-22

4. An efficient framework for few-shot skeleton-based temporal action segmentation;Computer Vision and Image Understanding;2023-07

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