Learning a Neural Association Network for Self-supervised Multi-Object Tracking

Shuai Li, Michael Burke, Subramanian Ramamoorthy +1

This paper introduces a novel framework to learn data association for multi-object tracking in a self-supervised manner. Fully-supervised learning methods are known to achieve exce…