Progressive Learning for Person Re-Identification with One Example.

In this paper, we focus on the one-example person re-identification (re-ID) task, where each identity has only one labeled example along with many unlabeled examples. We propose a progressive framework that gradually exploits the unlabeled data for person re-ID. In this framework, we iteratively: 1) update the convolutional neural network (CNN) model and (2) estimate pseudo labels for the unlabele...