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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Bibliografske podrobnosti

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