Few-shot Video Question Answering

Few-shot Video Question Answering is an advanced computer vision technology designed to achieve efficient understanding and accurate answering of video content through learning from a small number of samples. The core objective of this technology is to enhance the model's rapid adaptation capabilities for new tasks, reducing its reliance on large-scale labeled data. In practical applications, Few-shot Video Question Answering can significantly improve the efficiency and accuracy of video content analysis, and it is widely used in areas such as intelligent surveillance, content recommendation, and human-computer interaction.