Generalized domain prompt learning for accessible scientific vision-language models

Large-scale vision-language models have shown remarkable success in general vision tasks, inspiring the development of domain-specific models. However, creating these models requires substantial investments in annotated data, computational resources, and energy, making such endeavors largely accessi...

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Bibliographic Details
Main Authors: Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhengzhong Zeng, Xiaokang Yang, Dongxiao Zhang
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Nexus
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2950160125000166
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