AI RESEARCH
Prompt-based Adaptation in Large-scale Vision Models: A Survey
arXiv CS.CV
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ArXi:2510.13219v2 Announce Type: replace In computer vision, Visual Prompting (VP) and Visual Prompt Tuning (VPT) have recently emerged as lightweight and effective alternatives to full fine-tuning for adapting large-scale vision models within the "pretrain-then-finetune" paradigm. However, despite rapid progress, their conceptual boundaries remain blurred, as VP and VPT are frequently used interchangeably in current research, reflecting a lack of systematic distinction between these techniques and their respective applications.