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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

Showing 2130 of 127 papers

TitleStatusHype
Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction TuningCode1
Improved GUI Grounding via Iterative NarrowingCode1
Improving Visual Object Tracking through Visual PromptingCode1
Open-Vocabulary Action Localization with Iterative Visual PromptingCode1
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote SensingCode1
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual PromptingCode1
Dynamic Domains, Dynamic Solutions: DPCore for Continual Test-Time AdaptationCode1
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time AdaptationCode1
Exploring the Transferability of Visual Prompting for Multimodal Large Language ModelsCode1
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale ApproachCode1
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