Domain Prompt Learning with Quaternion Networks (Extended Abstract)
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Sister Conferences Best Papers. Pages 10881-10884.
https://doi.org/10.24963/ijcai.2025/1209
Keywords
- Sister Conferences Best Papers: Computer Vision
- Sister Conferences Best Papers: Multidisciplinary Topics and Applications
- Sister Conferences Best Papers: Machine Learning
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.
@inproceedings{ijcai2025p1209,
title = {Domain Prompt Learning with Quaternion Networks (Extended Abstract)},
author = {Cao, Qinglong and Xu, Zhengqin and Chen, Yuntian and Ma, Chao and Yang, Xiaokang},
booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-25}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {James Kwok},
pages = {10881--10884},
year = {2025},
month = {8},
note = {Sister Conferences Best Papers},
doi = {10.24963/ijcai.2025/1209},
url = {https://doi.org/10.24963/ijcai.2025/1209},
}
TY - CPAPER TI - Domain Prompt Learning with Quaternion Networks (Extended Abstract) AU - Cao, Qinglong AU - Xu, Zhengqin AU - Chen, Yuntian AU - Ma, Chao AU - Yang, Xiaokang T2 - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2025 SP - 10881 EP - 10884 DO - 10.24963/ijcai.2025/1209 UR - https://doi.org/10.24963/ijcai.2025/1209 ER -Copied
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