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
Explore until Confident: Efficient Exploration for Embodied Question Answering—0
Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following—0
Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms—0
From PowerPoint UI Sketches to Web-Based Applications: Pattern-Driven Code Generation for GIS Dashboard Development Using Knowledge-Augmented LLMs, Context-Aware Visual Prompting, and the React Framework—0
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training—0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation—0
Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering—0
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation—0
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?—0
Show:102550
← PrevPage 9 of 13Next →

No leaderboard results yet.