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A Data Augmentation Method for Skeleton-Based Action Recognition with Relative Features

In recent years, skeleton-based human action recognition (HAR) approaches using convolutional neural network (CNN) models have made tremendous progress in computer vision applications. However, using relative features to depict human actions, in addition to preventing overfitting when the CNN model...

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Bibliografiske detaljer
Principais autores: Junjie Chen, Wei Yang, Chenqi Liu, Leiyue Yao
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2021-12-01
Serier:Applied Sciences
Fag:
Online adgang:https://www.mdpi.com/2076-3417/11/23/11481
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