VT-Grapher: Video Tube Graph Network With Self-Distillation for Human Action Recognition-Reference-Cited by-同舟云学术

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VT-Grapher: Video Tube Graph Network With Self-Distillation for Human Action Recognition

Published:2024-05-01 Issue:9 Volume:24 Page:14855-14868
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Liu Xiaoxi¹^ORCID,Liu Ju¹^ORCID,Cheng Xuejun¹,Li Jing²^ORCID,Wan Wenbo³^ORCID,Sun Jiande³^ORCID

Affiliation:

1. School of Information Science and Engineering, Shandong University, Qingdao, China

2. School of Journalism and Communication, Shandong Normal University, Jinan, China

3. School of Information Science and Engineering, Shandong Normal University, Jinan, China

Funder

Joint Project for Smart Computing of Shandong Natural Science Foundation

Key Technology Research and Development Program of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10516472/10482849.pdf?arnumber=10482849

Reference80 articles.

1. Soft Spatial Attention-Based Multimodal Driver Action Recognition Using Deep Learning

2. Skeleton-Based Multifeatures and Multistream Network for Real-Time Action Recognition

3. Stimming Behavior Dataset - Unifying Stereotype Behavior Dataset in the Wild

4. Video Transformer Network

5. Video Swin Transformer

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