Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning
In recent years, visual-based sign language recognition (SLR) has become an active research area with the advancement of deep learning. However, it is difficult to collect sign language data, and many datasets suffer from data lack and imbalance, leading to overfitting and reduced accuracy in machin...
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Main Authors: | Yuriya Nakamura, Lei Jing |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10718297/ |
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