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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 111120 of 127 papers

TitleStatusHype
Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model0
Fast Segment AnythingCode0
Exploring the Benefits of Visual Prompting in Differential PrivacyCode0
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual PromptingCode0
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood PerspectiveCode0
Targeted Visual Prompting for Medical Visual Question AnsweringCode0
Towards Universal Text-driven CT Image SegmentationCode0
UICrit: Enhancing Automated Design Evaluation with a UICritique DatasetCode0
Towards Online Multi-Modal Social Interaction UnderstandingCode0
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual PromptingCode0
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