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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 51–75 of 127 papers

TitleStatusHype
Towards Open-World Grasping with Large Vision-Language Models—0
Towards Robust and Accurate Visual Prompting—0
T-Rex: Counting by Visual Prompting—0
Tumor segmentation on whole slide images: training or prompting?—0
Zoomer: Adaptive Image Focus Optimization for Black-box MLLM—0
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V—0
3DAxisPrompt: Promoting the 3D Grounding and Reasoning in GPT-4o—0
A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis—0
Affordance-Guided Reinforcement Learning via Visual Prompting—0
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model—0
Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling—0
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models—0
BLINK: Multimodal Large Language Models Can See but Not Perceive—0
Chat2Layout: Interactive 3D Furniture Layout with a Multimodal LLM—0
Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation—0
DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement—0
DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models—0
EarthGPT-X: Enabling MLLMs to Flexibly and Comprehensively Understand Multi-Source Remote Sensing Imagery—0
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting—0
Explore until Confident: Efficient Exploration for Embodied Question Answering—0
Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following—0
Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms—0
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
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training—0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation—0
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