Zero Shot Skeletal Action Recognition

Zero-Shot Skeletal Action Recognition is a cutting-edge technology in the field of computer vision that aims to accurately recognize action categories not seen during training by leveraging prior knowledge about unseen classes. The goal of this task is to enhance the model's generalization ability, enabling it to quickly make correct judgments when encountering new actions. This technology holds significant value in applications such as intelligent surveillance, human-computer interaction, and virtual reality, effectively improving system adaptability and user experience.