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...

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Bibliografiske detaljer

Principais autores:	Qingyang Xu, Jianjun Yang, Hongyi Zhang, Xin Jie, Danushka Bandara
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Action recognition few-shot learning temporal alignment adversarial training
Online adgang:	https://ieeexplore.ieee.org/document/10433188/
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