CLC number: TP181
On-line Access: 2024-02-19
Received: 2023-05-31
Revision Accepted: 2024-02-19
Crosschecked: 2023-10-17
Cited: 0
Clicked: 1244
Citations: Bibtex RefMan EndNote GB/T7714
Yiming LEI, Jingqi LI, Zilong LI, Yuan CAO, Hongming SHAN. Prompt learning in computer vision: a survey[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2300389 @article{title="Prompt learning in computer vision: a survey", %0 Journal Article TY - JOUR
计算机视觉中的提示学习:综述1上海市智能信息处理重点实验室,计算机科学技术学院,复旦大学,中国上海市,200438 2类脑智能科学与技术研究院,复旦大学,中国上海市,200433 3脑科学前沿科学中心,复旦大学,中国上海市,200433 4上海脑科学与类脑研究中心,中国上海市,201210 摘要:自大型预训练视觉-语言模型(VLM)爆发以来,提示学习已在计算机视觉领域引发广泛关注。基于VLM构建的视觉和语言信息之间的密切关系,提示学习成为许多重要应用领域(如人工智能内容生成(AIGC))中的关键技术。本综述循序渐进且全面地总结了与AIGC相关的视觉提示学习。首先介绍了VLM,它是视觉提示学习的基础。然后,回顾了视觉提示学习方法和提示引导生成模型,并讨论了如何提高将AIGC模型适用于下游特定任务的效率。最后,提供了一些有前景的关于提示学习的研究方向。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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