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Hi, sorry about the notation issues.
DHN is only for training, which acts as a proxy to deliver gradient from MOT loss.
DAN is used as an appearance model, which can recover a lost track by comparing the appearances before and after the object is lost.
notice that you use the DHN in training,
but use DAN in evaluate,
what is the difference, and how the DHN influence the tracking result ?
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