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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
Learning Expressive Prompting With Residuals for Vision Transformers—0
Affordance-Guided Reinforcement Learning via Visual Prompting—0
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks—0
LaViP:Language-Grounded Visual Prompts—0
KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation—0
Learning Visual Prompts for Guiding the Attention of Vision Transformers—0
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?—0
EarthGPT-X: Enabling MLLMs to Flexibly and Comprehensively Understand Multi-Source Remote Sensing Imagery—0
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models—0
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation—0
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