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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 41–50 of 127 papers

TitleStatusHype
WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning—0
Benchmarking Human and Automated Prompting in the Segment Anything ModelCode0
Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms—0
Visual Prompting in LLMs for Enhancing Emotion Recognition—0
Improving Visual Object Tracking through Visual PromptingCode1
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
Attention Prompting on Image for Large Vision-Language ModelsCode2
Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation—0
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting—0
Visual Prompting in Multimodal Large Language Models: A Survey—0
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