Deep Transfer Learning for Person Re-identification

16 Nov 2016Mengyue GengYaowei WangTao XiangYonghong Tian

Person re-identification (Re-ID) poses a unique challenge to deep learning: how to learn a deep model with millions of parameters on a small training set of few or no labels. In this paper, a number of deep transfer learning models are proposed to address the data sparsity problem... (read more)

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