Action-Aware Network with Upper and Lower Limit Loss for Weakly-Supervised Temporal Action Localization-Reference-Cited by-同舟云学术

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Action-Aware Network with Upper and Lower Limit Loss for Weakly-Supervised Temporal Action Localization

Published:2022-09-24 Issue: Volume: Page:
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Bi Mingwen,Li Jiaqi,Liu Xinliang,Zhang Qingchuan^ORCID,Yang Zhenghong

Funder

National Key Technology R &D Program of China

Beijing Natural Science Foundation

Humanities and Social Sciences Youth Foundation, Ministry of Education of the People’s Republic of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-022-11042-x.pdf

Reference34 articles.

1. Ciptadi A, Goodwin MS, Rehg JM (2014), Movement pattern histogram for action recognition and retrieval. In: European Conference on Computer Vision, pp. 695–710. Springer

2. Ramezani M, Yaghmaee F (2016) A review on human action analysis in videos for retrieval applications. Artif Intel Rev 46(4):485–514

3. Vishwakarma S, Agrawal A (2013) A survey on activity recognition and behavior understanding in video surveillance. Vis Comput 29(10):983–1009

4. Ji S, Xu W, Yang M, Yu K (2012) 3d convolutional neural networks for human action recognition. IEEE Trans Pattern Anal Mach Intell 35(1):221–231

5. Shou Z, Chan J, Zareian A, Miyazawa K, Chang S-F (2017) Cdc: Convolutional-de-convolutional networks for precise temporal action localization in untrimmed videos. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5734–5743

Cited by 1 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. Learning Reliable Dense Pseudo-Labels for Point-Level Weakly-Supervised Action Localization;Neural Processing Letters;2024-04-10

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