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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 111–120 of 127 papers

TitleStatusHype
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics—0
Robust Adaptation of Foundation Models with Black-Box Visual Prompting—0
RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-Thought—0
Test-time Correction with Human Feedback: An Online 3D Detection System via Visual Prompting—0
The Role of Background Information in Reducing Object Hallucination in Vision-Language Models: Insights from Cutoff API Prompting—0
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
Unifying Image Processing as Visual Prompting Question Answering—0
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