Exploring Rich Semantics for Open-set Action Recognition-Reference-Cited by-同舟云学术

Exploring Rich Semantics for Open-set Action Recognition

Published:2023 Issue: Volume: Page:1-13
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Hu Yufan¹^ORCID,Gao Junyu²^ORCID,Dong Jianfeng³^ORCID,Fan Bin¹^ORCID,Liu Hongmin¹^ORCID

Affiliation:

1. School of Intelligence and Technology, University of Science and Technology Beijing, Beijing, China

2. State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China

3. College of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

open research fund of The State Key Laboratory of Multimodal Artificial Intelligence Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/10321683.pdf?arnumber=10321683

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