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Most existing person re-identification (ReID) methods assume the availability of extensively labelled cross-view person pairs and a closed-set scenario (i.e. all the probe people exist in the gallery set). These two assumptions significantly limit their usefulness and scalability in real-world applications, particularly with large scale camera networks. To overcome the limitations, we introduce a more challenging yet realistic ReID setting termed OneShot-OpenSet-ReID, and propose a noveldoi:10.1109/icip.2016.7532461 dblp:conf/icip/WangZXG16 fatcat:lhjnof4jtfh73mq62e7fo4usdq