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Diverse Representation Embedding for Lifelong Person Re-Identification
KU strategy enhances the adaptive learning ability of learner models for new information under the adjustment model prior, and KP strategy preserves old knowledge operated by representation-level alignment and logit-level supervision in limited old task datasets while guaranteeing the adaptive learning information capacity of the LReID model.
Review helps learn better: Temporal Supervised Knowledge Distillation
Reviewing plays an important role when learning knowledge.
Motion-Aware Transformer For Occluded Person Re-identification
Recently, occluded person re-identification(Re-ID) remains a challenging task that people are frequently obscured by other people or obstacles, especially in a crowd massing situation.
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