Abstract: Skeleton-based human action recognition aims to classify human skeletal sequences, which are spatiotemporal representations of actions, into predefined categories. To reduce the reliance on ...
Abstract: Real-world datasets often suffer from both noisy labels and imbalanced class distribution, presenting significant challenges for the effective deployment of deep neural networks (DNNs).
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