Optimizing Action Tracking with Memory Mechanisms

This chapter explores a multi-view transformer architecture designed for action tracking, emphasizing memory management to enhance prediction accuracy. It discusses the innovative integration of memory banks and sampling techniques to improve the model's ability to learn from temporal data and adapt to varying scenarios.