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 101–125 of 127 papers

TitleStatusHype
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model—0
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks—0
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting—0
BLINK: Multimodal Large Language Models Can See but Not Perceive—0
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation—0
Explore until Confident: Efficient Exploration for Embodied Question Answering—0
On the low-shot transferability of [V]-Mamba—0
MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting—0
Tumor segmentation on whole slide images: training or prompting?—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
LaViP:Language-Grounded Visual Prompts—0
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V—0
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual PromptsCode0
T-Rex: Counting by Visual Prompting—0
Towards Robust and Accurate Visual Prompting—0
Unifying Image Processing as Visual Prompting Question Answering—0
VPA: Fully Test-Time Visual Prompt Adaptation—0
Uncovering the Hidden Cost of Model CompressionCode0
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation—0
Fast Segment AnythingCode0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual PromptingCode0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation—0
Learning Expressive Prompting With Residuals for Vision Transformers—0
Exploring the Benefits of Visual Prompting in Differential PrivacyCode0
Show:102550
← PrevPage 5 of 6Next →

No leaderboard results yet.