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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 31–40 of 127 papers

TitleStatusHype
MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention—0
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language ModelsCode4
Query Efficient Black-Box Visual Prompting with Subspace Learning—0
Visual Prompting with Iterative Refinement for Design Critique Generation—0
Selective Visual Prompting in Vision MambaCode1
Test-time Correction with Human Feedback: An Online 3D Detection System via Visual Prompting—0
Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction TuningCode1
MLLM-Search: A Zero-Shot Approach to Finding People using Multimodal Large Language Models—0
Improved GUI Grounding via Iterative NarrowingCode1
Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models—0
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