Prompt learning in computer vision: a survey

Prompt learning has attracted broad attention in computer vision since the large pre-trained vision-language models (VLMs) exploded. Based on the close relationship between vision and language information built by VLM, prompt learning becomes a crucial technique in many important applications such a...

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Bibliographic Details
Published in:Frontiers of information technology & electronic engineering 2024, Vol.25 (1), p.42-63
Main Authors: Lei, Yiming, Li, Jingqi, Li, Zilong, Cao, Yuan, Shan, Hongming
Format: Article
Language:English
Subjects:
Artificial intelligence
Brain research
Classification
Communications Engineering
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Computer vision
Editing
Electrical Engineering
Electronics and Microelectronics
Engineering
Instrumentation
Language
Learning
Networks
Review
Science
Teaching methods
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Summary:Prompt learning has attracted broad attention in computer vision since the large pre-trained vision-language models (VLMs) exploded. Based on the close relationship between vision and language information built by VLM, prompt learning becomes a crucial technique in many important applications such as artificial intelligence generated content (AIGC). In this survey, we provide a progressive and comprehensive review of visual prompt learning as related to AIGC. We begin by introducing VLM, the foundation of visual prompt learning. Then, we review the vision prompt learning methods and prompt-guided generative models, and discuss how to improve the efficiency of adapting AIGC models to specific downstream tasks. Finally, we provide some promising research directions concerning prompt learning.
ISSN:2095-9184
2095-9230
DOI:10.1631/FITEE.2300389