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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 91–100 of 127 papers

TitleStatusHype
KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation—0
LaViP:Language-Grounded Visual Prompts—0
Learning Expressive Prompting With Residuals for Vision Transformers—0
Learning Visual Prompts for Guiding the Attention of Vision Transformers—0
MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention—0
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation—0
MLLM-Search: A Zero-Shot Approach to Finding People using Multimodal Large Language Models—0
MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting—0
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks—0
NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation—0
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