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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 1–10 of 127 papers

TitleStatusHype
Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object SegmentationCode0
RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-Thought—0
Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering—0
DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models—0
A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis—0
VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation—0
Vision Graph Prompting via Semantic Low-Rank DecompositionCode1
Token Coordinated Prompt Attention is Needed for Visual PromptingCode1
Zoomer: Adaptive Image Focus Optimization for Black-box MLLM—0
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models—0
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