Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition

Data augmentation is a widely used technique for enhancing the generalization ability of deep neural networks for skeleton-based human action recognition (HAR) tasks. Most existing data augmentation methods generate new samples by means of handcrafted transforms. However, these methods often cannot...

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