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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2555-2560

Feature mining and region enhancement for weakly supervised temporal action localization

Wang Jing
Wang Chuanxu
School of Information Science & Technology, Qingdao University of Science & Technology, Qingdao Shandong 266100, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0642

Abstract

Weakly supervised temporal action localization(WTAL) aims to locate the start and end boundaries of action instances and identify the corresponding actions. Although the existing methods have made great progress, there are still problems of incomplete localization and missing detection of shorter motions. To this end, this paper proposed a localization method of feature mining and region enhancement(FMRE). Firstly it calculated the similarity score between video segments through the base branch, and aggregated the context information with this score to obtain a more differentiated segment classification score, further realizing the complete positioning of the action. Then, it added a enhance branch to dynamically up-sample action proposals with a shorter duration in the initial localization along the temporal dimension, and then utilized the multi-head self-attention mechanism to explicitly model the temporal structure between action proposals, which facilitated action localization with temporal dependencies and prevented missing detection of short actions. Finally, it constructed pseudo-labels of mutual supervision between the two branches to gradually improve the quality of action proposals during the training process. The algorithm achieves mAP of 70.3% and 40.7% detection performances on the THUMOS14 and ActivityNet1.3 datasets respectively, which proves the effectiveness of the proposed algorithm.

Foundation Support

国家自然科学基金资助项目(61672305)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0642
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Technology of Graphic & Image
Pages: 2555-2560
Serial Number: 1001-3695(2023)08-050-2555-06

Publish History

[2023-02-03] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

王静, 王传旭. 特征挖掘与区域增强的弱监督时序动作定位 [J]. 计算机应用研究, 2023, 40 (8): 2555-2560. (Wang Jing, Wang Chuanxu. Feature mining and region enhancement for weakly supervised temporal action localization [J]. Application Research of Computers, 2023, 40 (8): 2555-2560. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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