SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 41–50 of 127 papers

TitleStatusHype
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model AdaptationCode1
Open-Vocabulary Action Localization with Iterative Visual PromptingCode1
GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure SegmentationCode1
Selective Visual Prompting in Vision MambaCode1
Diversity-Aware Meta Visual PromptingCode1
Vision Graph Prompting via Semantic Low-Rank DecompositionCode1
Explore until Confident: Efficient Exploration for Embodied Question Answering—0
BLINK: Multimodal Large Language Models Can See but Not Perceive—0
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting—0
Affordance-Guided Reinforcement Learning via Visual Prompting—0
Show:102550
← PrevPage 5 of 13Next →

No leaderboard results yet.