In this paper, we aim to tackle the one-shot person re-identification problem where only one image is labelled for each person, while other images are unlabelled. This task challenging due lack of sufficient training data. To problem, propose iteratively guess pseudo labels unlabelled samples, which later used update model together with samples. A new sampling mechanism designed select samples ...