Existing online multiple object tracking (MOT) algorithms often consist of two subtasks, detection and re-identification (ReID). In order to enhance the inference speed reduce complexity, current methods commonly integrate these double subtasks into a unified framework. Nevertheless, ReID demand diverse features. This issue results in an optimization contradiction during training procedure. Wit...