SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition-Reference-Cited by-同舟云学术

SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition

Author:

Li Zhiheng¹^ORCID,Gong Xuyuan¹,Song Ran¹^ORCID,Duan Peng²^ORCID,Liu Jun³^ORCID,Zhang Wei¹^ORCID

Affiliation:

1. School of Control Science and Engineering, Shandong University, Jinan, China

2. School of Computer Science, Liaocheng University, Liaocheng, China

3. Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Tampines, Singapore

Funder

National Key Research and Development Plan of China

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province for Distinguished Young Scholars

Project for Self-Developed Innovation Team of Jinan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference49 articles.

1. Prototypical networks for few-shot learning;snell;arXiv 1703 05175,2017

2. Matching networks for one shot learning;vinyals;arXiv 1606 04080,2016

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