Video Domain Adapation

Video Domain Adaptation is a subtask in the field of computer vision aimed at addressing video action recognition problems under different data distributions. This task involves using unsupervised learning methods to enable a model trained on a source domain to effectively adapt to a target domain, thereby improving cross-domain recognition performance. It has significant application value, especially in scenarios such as surveillance, sports analysis, and human-computer interaction.