Search Results for author:
Found 3 papers, 2 papers with code
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
In this work, we introduce a Unified Modality Separation (UniMoS) framework for unsupervised domain adaptation.
Agile Multi-Source-Free Domain Adaptation
Efficiently utilizing rich knowledge in pretrained models has become a critical topic in the era of large models.
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Specifically, the image contextual information is utilized to prompt the language branch in a domain-agnostic and instance-conditioned way.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
