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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 26–50 of 127 papers

TitleStatusHype
From PowerPoint UI Sketches to Web-Based Applications: Pattern-Driven Code Generation for GIS Dashboard Development Using Knowledge-Augmented LLMs, Context-Aware Visual Prompting, and the React Framework—0
Personalization Toolkit: Training Free Personalization of Large Vision Language Models—0
Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling—0
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model AdaptationCode1
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual PromptingCode0
MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention—0
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language ModelsCode4
Query Efficient Black-Box Visual Prompting with Subspace Learning—0
Visual Prompting with Iterative Refinement for Design Critique Generation—0
Selective Visual Prompting in Vision MambaCode1
Test-time Correction with Human Feedback: An Online 3D Detection System via Visual Prompting—0
Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction TuningCode1
MLLM-Search: A Zero-Shot Approach to Finding People using Multimodal Large Language Models—0
Improved GUI Grounding via Iterative NarrowingCode1
Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models—0
WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning—0
Benchmarking Human and Automated Prompting in the Segment Anything ModelCode0
Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms—0
Visual Prompting in LLMs for Enhancing Emotion Recognition—0
Improving Visual Object Tracking through Visual PromptingCode1
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
Attention Prompting on Image for Large Vision-Language ModelsCode2
Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation—0
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting—0
Visual Prompting in Multimodal Large Language Models: A Survey—0
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