ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval

arXiv:2312.12478v3 Announce Type: replace
Abstract: The goal of Universal Cross-Domain Retrieval (UCDR) is to achieve robust performance in generalized test scenarios, wherein data may belong to strictly unknown domains and categories during training. Recently, pre-trained models with prompt tuning have shown strong generalization capabilities and attained noteworthy achievements in various downstream tasks, such as few-shot learning and video-text retrieval. However, applying them directly to UCDR may not sufficiently to handle both domain shift (i.e., adapting to unfamiliar domains) and semantic …

arxiv cs.cv domain generalized knowledge prompting pros retrieval type universal