Yuqing Shao

From Detection to Association: Learning Discriminative Object Embeddings for Multi-Object Tracking

End-to-end multi-object tracking (MOT) methods have recently achieved remarkable progress by unifying detection and association within a single framework. Despite their strong detection performance, these methods suffer from relatively low association accuracy. Through detailed analysis, we observe