Adversarial Teacher-Student Learning for Unsupervised Domain Adaptation
Adversarial Teacher-Student Learning for Unsupervised Domain Adaptation
The teacher-student (T/S) learning has been shown effective in unsupervised domain adaptation [1]. It is a form of transfer learning, not in terms of the transfer of recognition decisions, but the knowledge of posteriori probabilities in the source domain as evaluated by the teacher model. It learns to handle the …