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Visual Prompting

Visual Prompting is the task of streamlining computer vision processes by harnessing the power of prompts, inspired by the breakthroughs of text prompting in NLP. This innovative approach involves using a few visual prompts to swiftly convert an unlabeled dataset into a deployed model, significantly reducing development time for both individual projects and enterprise solutions.

Papers

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Showing 121–127 of 127 papers

TitleStatusHype
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual PromptingCode0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation—0
Learning Expressive Prompting With Residuals for Vision Transformers—0
Exploring the Benefits of Visual Prompting in Differential PrivacyCode0
Unleashing the Power of Visual Prompting At the Pixel LevelCode0
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training—0
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