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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 51–60 of 127 papers

TitleStatusHype
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
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models—0
Zoomer: Adaptive Image Focus Optimization for Black-box MLLM—0
RadSAM: Segmenting 3D radiological images with a 2D promptable model—0
Visual and textual prompts for enhancing emotion recognition in video—0
NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation—0
Visual Prompting for One-shot Controllable Video Editing without Inversion—0
EarthGPT-X: Enabling MLLMs to Flexibly and Comprehensively Understand Multi-Source Remote Sensing Imagery—0
Prompt-Guided Attention Head Selection for Focus-Oriented Image Retrieval—0
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