An Effective Video Transformer With Synchronized Spatiotemporal and Spatial Self-Attention for Action Recognition-Reference-Cited by-同舟云学术

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An Effective Video Transformer With Synchronized Spatiotemporal and Spatial Self-Attention for Action Recognition

Published:2022 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Alfasly Saghir¹^ORCID,Chui Charles K.²^ORCID,Jiang Qingtang³^ORCID,Lu Jian¹^ORCID,Xu Chen¹

Affiliation:

1. College of Mathematics and Statistics, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University, Shenzhen, China

2. Department of Statistics, Stanford University, Stanford, CA, USA

3. Department of Mathematics and Statistics, University of Missouri–St. Louis, St. Louis, MO, USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province of China

Educational Commission of Guangdong Province of China

Simons Foundation

Army Research Office

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09834306.pdf?arnumber=9834306

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1. Integrating self-attention mechanisms in deep learning: A novel dual-head ensemble transformer with its application to bearing fault diagnosis;Signal Processing;2025-02

2. Auxiliary audio–textual modalities for better action recognition on vision-specific annotated videos;Pattern Recognition;2024-12

3. Spatio-temporal adaptive convolution and bidirectional motion difference fusion for video action recognition;Expert Systems with Applications;2024-12

4. MKP-Net: Memory knowledge propagation network for point-supervised temporal action localization in livestreaming;Computer Vision and Image Understanding;2024-11

5. A Dynamic Position Embedding-Based Model for Student Classroom Complete Meta-Action Recognition;Sensors;2024-08-20

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