Agile Multi-Source-Free Domain Adaptation

arXiv:2403.05062v1 Announce Type: new
Abstract: Efficiently utilizing rich knowledge in pretrained models has become a critical topic in the era of large models. This work focuses on adaptively utilizing knowledge from multiple source-pretrained models to an unlabeled target domain without accessing the source data. Despite being a practically useful setting, existing methods require extensive parameter tuning over each source model, which is computationally expensive when facing abundant source domains or larger source models. To address this challenge, we propose a …

agile arxiv cs.cv domain domain adaptation free type