Deep Transfer Learning for Person Re-Identification
Deep Transfer Learning for Person Re-Identification
Person re-identification (Re-ID) poses an inevitable challenge to deep learning: how to learn a robust deep model with millions of parameters on a small training set of few or no labels. In this paper, two deep transfer learning methods are proposed to address the training data sparsity problem, respectively from …