Interactive Spatiotemporal Token Attention Network for Skeleton-Based General Interactive Action Recognition
Yuhang Wen,Zixuan Tang,Yunsheng Pang,Beichen Ding,Mengyuan Liu,Yuhang Wen,Zixuan Tang,Yunsheng Pang,Beichen Ding,Mengyuan Liu
Recognizing interactive action plays an important role in human-robot interaction and collaboration. Previous methods use late fusion and co-attention mechanism to capture interactive relations, which have limited learning capability or inefficiency to adapt to more interacting entities. With assumption that priors of each entity are already known, they also lack evaluations on a more general sett...
