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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 101–110 of 127 papers

TitleStatusHype
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model—0
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks—0
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting—0
BLINK: Multimodal Large Language Models Can See but Not Perceive—0
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation—0
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
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
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