Mingyue Bin

Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation

Unsupervised domain adaptation (UDA) aims to learn discriminative features from a labeled source domain by supervised learning and to transfer the knowledge to an unlabeled target domain via distribution alignment. However, in some real-world scenarios, e.g., public safety or access control, it's di…