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

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

Few-shot human action recognition, a prominent area in computer vision, has garnered increasing attention and broader use in real-life scenarios. Extracting spatio-temporal skeletal information from human movement videos offers interpretable and data-efficient features. However, existing spatio-temp...

Full description

Bibliographic Details
Main Authors: Qingyang Xu, Jianjun Yang, Hongyi Zhang, Xin Jie, Danushka Bandara
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Action recognition
few-shot learning
temporal alignment
adversarial training
Online Access:https://ieeexplore.ieee.org/document/10433188/

Internet

https://ieeexplore.ieee.org/document/10433188/

Similar Items