April 11, 2024, 4:45 a.m. | Senqiao Yang, Zhuotao Tian, Li Jiang, Jiaya Jia

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.07155v1 Announce Type: new
Abstract: This paper introduces Unified Language-driven Zero-shot Domain Adaptation (ULDA), a novel task setting that enables a single model to adapt to diverse target domains without explicit domain-ID knowledge. We identify the constraints in the existing language-driven zero-shot domain adaptation task, particularly the requirement for domain IDs and domain-specific models, which may restrict flexibility and scalability. To overcome these issues, we propose a new framework for ULDA, consisting of Hierarchical Context Alignment (HCA), Domain Consistent Representation …

arxiv cs.cv domain domain adaptation language type zero-shot

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