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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 111–120 of 127 papers

TitleStatusHype
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual PromptingCode0
Explicit Visual Prompting for Universal Foreground SegmentationsCode2
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation—0
UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose TransferCode1
Segment AnythingCode5
Learning Expressive Prompting With Residuals for Vision Transformers—0
BlackVIP: Black-Box Visual Prompting for Robust Transfer LearningCode1
Exploring the Benefits of Visual Prompting in Differential PrivacyCode0
Explicit Visual Prompting for Low-Level Structure SegmentationsCode2
Diversity-Aware Meta Visual PromptingCode1
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