Domain Prompt Learning with Quaternion Networks (Extended Abstract)

Qinglong Cao; Zhengqin Xu; Yuntian Chen; Chao Ma; Xiaokang Yang

IJCAI 20250 citations

Domain Prompt Learning with Quaternion Networks (Extended Abstract)

Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang

Abstract

Foundational vision-language models (VLMs) like CLIP have revolutionized image recognition, but adapting them to specialized domains with limited data remains challenging. We propose Domain Prompt Learning with Quaternion Networks (DPLQ), which leverages domain-specific foundation models and quaternion-based prompt tuning to effectively transfer recognition capabilities. Our method achieves state-of-the-art results in remote sensing and medical imaging tasks. This extended abstract highlights the key contributions and performance of DPLQ.

BibTeX

@inproceedings{ijcai2025_domainpromptlear,
  title = {Domain Prompt Learning with Quaternion Networks (Extended Abstract)},
  author = {Qinglong Cao and Zhengqin Xu and Yuntian Chen and Chao Ma and Xiaokang Yang},
  booktitle = {IJCAI 2025},
  year = {2025}
}