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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
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting—0
Personalization Toolkit: Training Free Personalization of Large Vision Language Models—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Prompt-Guided Attention Head Selection for Focus-Oriented Image Retrieval—0
Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models—0
Query Efficient Black-Box Visual Prompting with Subspace Learning—0
RadSAM: Segmenting 3D radiological images with a 2D promptable model—0
Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-Modal Large Language Models—0
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge—0
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics—0
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