FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation
Author:
Affiliation:
1. Peking University,Shenzhen Graduate School
2. Queen Mary University of London
3. Harbin Institute of Technology,Shenzhen Graduate School
4. Singapore Nanyang Technological University
Funder
Peking University
Queen Mary University of London
Harbin Institute of Technology
Nanyang Technological University
National Natural Science Foundation of China
Shenzhen Fundamental Research Program
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377524.pdf?arnumber=10377524
Reference49 articles.
1. Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
2. Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
3. Skeleton-Based Action Recognition With Shift Graph Convolutional Network
4. P-CNN: Pose-Based CNN Features for Action Recognition
5. SPAct: Self-supervised Privacy Preservation for Action Recognition
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