期刊文献+

Prompt learning in computer vision: a survey 被引量:1

原文传递
导出
摘要 Prompt learning has attracted broad attention in computer vision since the large pre-trained visionlanguagemodels (VLMs) exploded. Based on the close relationship between vision and language information builtby VLM, prompt learning becomes a crucial technique in many important applications such as artificial intelligencegenerated content (AIGC). In this survey, we provide a progressive and comprehensive review of visual promptlearning as related to AIGC. We begin by introducing VLM, the foundation of visual prompt learning. Then, wereview the vision prompt learning methods and prompt-guided generative models, and discuss how to improve theefficiency of adapting AIGC models to specific downstream tasks. Finally, we provide some promising researchdirections concerning prompt learning.
出处 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2024年第1期42-63,共22页 信息与电子工程前沿(英文版)
基金 Project supported by the National Natural Science Foundation of China(Nos.62306075 and 62101136) the China Postdoctoral Science Foundation(No.2022TQ0069) the Natural Science Foundation of Shanghai,China(No.21ZR1403600) the Shanghai Municipal of Science and Technology Project,China(No.20JC1419500) the Shanghai Center for Brain Science and Brain-Inspired Technology,China。
  • 相关文献

参考文献3

二级参考文献5

共引文献2

同被引文献3

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部