Boosting Black-Box Unsupervised Domain Adaptation With Cross-Model Contrastive and Consistency Learning.
Black-box unsupervised domain adaptation (black-box UDA) aims to adapt a target model without accessing source data or source-model parameters. Compared with conventional unsupervised domain adaptation (UDA) and source-free UDA (SFUDA), this setting better protects data privacy and model security, but poses greater cha...