MLP-AIR: An Efficient MLP-Based Method for Actor Interaction Relation Learning in Group Activity Recognition

Understand

The task of Group Activity Recognition (GAR) aims to predict the activity category of the group by learning the actor spatial-temporal interaction relation in the group.

• Therefore, an effective actor relation learning method is crucial for the GAR task.
• The previous works mainly learn the interaction relation by the well-designed GCNs or Transformers.
• For example, to infer the actor interaction relation, GCNs need a learnable adjacency, and Transformers need to calculate the self-attention.