Few-shot action recognition aims to learn a classification model with good generalisation ability when trained only few labelled videos. However, it is difficult discriminative feature representations for videos in such setting. The Elastic Temporal Alignment (ETA) few-shot proposed. First, convolutional neural network employed extract of video frames sparsely sampled from In order obtain the s...

Skeleton-based action recognition is a research hotspot in the field of computer vision. Currently, mainstream method based on Graph Convolutional Networks (GCNs). Although there are many advantages GCNs, GCNs mainly rely graph topologies to draw dependencies between joints, which limited capturing long-distance dependencies. Meanwhile, Transformer-based methods have been applied skeleton-based...