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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

Showing 1120 of 127 papers

TitleStatusHype
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You WantCode2
Tokenize Anything via PromptingCode2
Explicit Visual Prompting for Universal Foreground SegmentationsCode2
Explicit Visual Prompting for Low-Level Structure SegmentationsCode2
Visual Prompting via Image InpaintingCode2
Exploring Visual Prompts for Adapting Large-Scale ModelsCode2
Vision Graph Prompting via Semantic Low-Rank DecompositionCode1
Token Coordinated Prompt Attention is Needed for Visual PromptingCode1
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model AdaptationCode1
Selective Visual Prompting in Vision MambaCode1
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