Dual attention focus network for few-shot skeleton-based action recognition

Few-shot action recognition is a challenging yet practically significant problem that involves developing a model capable of learning discriminative features from a small number of labeled samples to recognize new action categories. Current methods typically infer spatial relationships either within or across skeletons to learn action representations, but this often results in features with insufficient discriminability and ineffective …