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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 81–90 of 127 papers

TitleStatusHype
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You WantCode2
Explore until Confident: Efficient Exploration for Embodied Question Answering—0
On the low-shot transferability of [V]-Mamba—0
MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting—0
Tumor segmentation on whole slide images: training or prompting?—0
Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal ModelsCode1
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Tune-An-Ellipse: CLIP Has Potential to Find What You WantCode1
Generative Multimodal Models are In-Context LearnersCode3
LaViP:Language-Grounded Visual Prompts—0
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