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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 4150 of 127 papers

TitleStatusHype
UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose TransferCode1
BlackVIP: Black-Box Visual Prompting for Robust Transfer LearningCode1
Diversity-Aware Meta Visual PromptingCode1
Text-Visual Prompting for Efficient 2D Temporal Video GroundingCode1
Understanding and Improving Visual Prompting: A Label-Mapping PerspectiveCode1
Visual Prompting for Adversarial RobustnessCode1
Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object SegmentationCode0
RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-Thought0
Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering0
DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models0
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