Zero Shot Action Recognition

Zero-Shot Action Recognition is a computer vision technique aimed at recognizing unseen action categories without prior training. This technology achieves accurate recognition and classification of new categories by leveraging knowledge transfer from known categories, effectively enhancing the model's generalization ability and broadening its application scenarios. Its core objective is to address the issues of insufficient data annotation and rapid identification of new actions, making it highly valuable, especially in real-time monitoring, intelligent video analysis, and human-computer interaction fields.