Design and Analysis of Efficient Attention in Transformers for Social Group Activity Recognition

arXiv:2404.09964v1 Announce Type: cross
Abstract: Social group activity recognition is a challenging task extended from group activity recognition, where social groups must be recognized with their activities and group members. Existing methods tackle this task by leveraging region features of individuals following existing group activity recognition methods. However, the effectiveness of region features is susceptible to person localization and variable semantics of individual actions. To overcome these issues, we propose leveraging attention modules in transformers to generate social group features. …

abstract analysis and analysis arxiv attention cs.cv cs.lg design features recognition social transformers type