Enhancing Few-Shot Action Recognition Using Skeleton Temporal Alignment and Adversarial Training-Reference-Cited by-同舟云学术

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Enhancing Few-Shot Action Recognition Using Skeleton Temporal Alignment and Adversarial Training

Published:2024 Issue: Volume:12 Page:31745-31755
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xu Qingyang¹,Yang Jianjun²,Zhang Hongyi³,Jie Xin¹,Bandara Danushka⁴^ORCID

Affiliation:

1. College of Computer Science, Zhejiang University, Hangzhou, China

2. Department of General Practice, Shandong Provincial Third Hospital, Shandong University, Jinan, China

3. School of Software Technology, Zhejiang University, Hangzhou, China

4. Department of Computer Science and Engineering, Fairfield University, Fairfield, CT, USA

Funder

Natural Science Foundation of Shandong Province

Jinan Science and Technology Bureau plan

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10433188.pdf?arnumber=10433188

Reference54 articles.

1. Few-Shot Video Classification via Temporal Alignment

2. Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis

3. Incremental Subgraph Feature Selection for Graph Classification

4. A Comprehensive Survey of Vision-Based Human Action Recognition Methods

5. Visual perception of biological motion and a model for its analysis

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