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 81–90 of 127 papers

TitleStatusHype
Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms—0
Visual Prompting in LLMs for Enhancing Emotion Recognition—0
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation—0
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting—0
Visual Prompting in Multimodal Large Language Models: A Survey—0
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood PerspectiveCode0
Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-Modal Large Language Models—0
Targeted Visual Prompting for Medical Visual Question AnsweringCode0
Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model—0
Show:102550
← PrevPage 9 of 13Next →

No leaderboard results yet.