A Progressive Decoding Strategy for Action Recognition-Reference-Cited by-同舟云学术

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A Progressive Decoding Strategy for Action Recognition

Published:2023 Issue: Volume:11 Page:92424-92432
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhao Xiangtao¹^ORCID,Li Zhihan¹^ORCID,Liu Yinhua¹^ORCID,Xia Yuxiao¹

Affiliation:

1. School of Automation, Qingdao University, Qingdao, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10230215.pdf?arnumber=10230215

Reference45 articles.

1. Learning 3D Skeletal Representation From Transformer for Action Recognition

2. Spatio-temporal Relation Modeling for Few-shot Action Recognition

3. Mixed graph convolution and residual transformation network for skeleton-based action recognition

4. Global Context-Aware Attention LSTM Networks for 3D Action Recognition

5. Multimodal Deep Network Embedding With Integrated Structure and Attribute Information

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