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TransFiner: A Full-Scale Refinement Approach for Multiple Object Tracking
[article]
2022
arXiv
pre-print
Multiple object tracking (MOT) is the task containing detection and association. Plenty of trackers have achieved competitive performance. Unfortunately, for the lack of informative exchange on these subtasks, they are often biased toward one of the two and underperform in complex scenarios, such as the inevitable misses and mistaken trajectories of targets when tracking individuals within a crowd. This paper proposes TransFiner, a transformer-based approach to post-refining MOT. It is a
arXiv:2207.12967v2
fatcat:pzszdcxvpfed3lfzewyh7krqt4