2023
Learning to Reconnect Interrupted Trajectories for Weakly Supervised Multi-Object Tracking
ICASSP 2023accepted
Recently, some weakly supervised multi-object tracking (MOT) methods learn identity embedding features with pseudo identity labels rather than the high-cost manual ones. However, these pseudo identity labels may contain many false or missing identities, which adversely affect the optimization of tra…