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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 3140 of 127 papers

TitleStatusHype
Finding Visual Task VectorsCode1
Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal ModelsCode1
Tune-An-Ellipse: CLIP Has Potential to Find What You WantCode1
EZ-CLIP: Efficient Zeroshot Video Action RecognitionCode1
ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNetCode1
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model PerspectiveCode1
GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure SegmentationCode1
AutoVP: An Automated Visual Prompting Framework and BenchmarkCode1
Visual Instruction Inversion: Image Editing via Visual PromptingCode1
Fine-Grained Visual PromptingCode1
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