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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 5160 of 127 papers

TitleStatusHype
UICrit: Enhancing Automated Design Evaluation with a UICritique DatasetCode0
Benchmarking Human and Automated Prompting in the Segment Anything ModelCode0
Towards Universal Text-driven CT Image SegmentationCode0
Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object SegmentationCode0
Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth AmbiguityCode0
Fast Segment AnythingCode0
Uncovering the Hidden Cost of Model CompressionCode0
Targeted Visual Prompting for Medical Visual Question AnsweringCode0
Exploring the Benefits of Visual Prompting in Differential PrivacyCode0
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual PromptingCode0
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