A Closer Look at Video Sampling for Sequential Action Recognition-Reference-Cited by-同舟云学术

A Closer Look at Video Sampling for Sequential Action Recognition

Published:2023-12 Issue:12 Volume:33 Page:7503-7514
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Zhang Yu¹^ORCID,Zhao Junjie¹,Chen Zhengjie²,Mi Siya²^ORCID,Zhu Hongyuan³^ORCID,Geng Xin¹^ORCID

Affiliation:

1. Key Laboratory of Computer Network and Information Integration (Ministry of Education) and the School of Computer Science and Engineering, Southeast University, Nanjing, China

2. School of Cyber Science and Engineering, Southeast University, Nanjing, China

3. Centre for Frontier AI Research (CFAR) and the Institute for Infocomm Research (I2R), A*STAR, Fusionopolis, Singapore

Funder

National Key Research and Development Program of China

Natural Science Foundation of Jiangsu Province

A*STAR AME Programmatic

RobotHTPO Seed

Economic Development Board (EDB) Space Technology Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10348119/10122225.pdf?arnumber=10122225

Reference65 articles.

1. UCF101: A dataset of 101 human actions classes from videos in the wild;Soomro;arXiv:1212.0402,2012

2. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

3. The “Something Something” Video Database for Learning and Evaluating Visual Common Sense

4. Temporal Relational Reasoning in Videos

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