Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition

Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition

Few-shot action recognition aims to train a model to classify actions in videos using only a few examples, known as “shots,” per action class. This learning approach is particularly useful but challenging due to the limited availability of labeled video data in practice. Althou...

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Bibliographic Details
Main Authors:	Nguyen Anh Tu, Nartay Aikyn, Nursultan Makhanov, Assanali Abu, Kok-Seng Wong, Min-Ho Lee
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Series:	IEEE Access
Subjects:	Human action recognition few-shot learning federated learning representation learning few-shot action recognition
Online Access:	https://ieeexplore.ieee.org/document/10804801/
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