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Unsupervised Disentanglement GAN for Domain Adaptive Person Re-Identification
Our framework jointly trains a ReID network for discriminative features extraction in a source labelled domain using identity annotation, and adapts the ReID model to an unlabelled target domain by learning disentangled latent representations on the domain.
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