CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification

2 Apr 2019Guillaume DelormeYihong XuStephane LathuilièreRadu HoraudXavier Alameda-Pineda

Unsupervised person re-ID is the task of identifying people on a target data set for which the ID labels are unavailable during training. In this paper, we propose to unify two trends in unsupervised person re-ID: clustering & fine-tuning and adversarial learning... (read more)

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