Review of Large Vision Models and Visual Prompt Engineering
Jiaqi Wang Zhengliang Liu Lin Zhao Zihao Wu Chong Ma Sigang Yu Haixing Dai Qiushi Yang Yiheng Liu Songyao Zhang Enze Shi Yi Pan Tuo Zhang Dajiang Zhu Xiang Li Xi Jiang Bao Ge Yixuan Yuan Dinggang Shen Tianming Liu Shu Zhang
Visual prompt engineering is a fundamental technology in the field of visual
and image Artificial General Intelligence, serving as a key component for
achieving zero-shot capabilities. As the development of large vision models
progresses, the importance of prompt engineering becomes increasingly evident.
Designing suitable prompts for specific visual tasks has emerged as a
meaningful research direction. This review aims to summarize the methods
employed in the computer vision domain for large vision models and visual
prompt engineering, exploring the latest advancements in visual prompt
engineering. We present influential large models in the visual domain and a
range of prompt engineering methods employed on these models. It is our hope
that this review provides a comprehensive and systematic description of prompt
engineering methods based on large visual models, offering valuable insights
for future researchers in their exploration of this field.