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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 91100 of 127 papers

TitleStatusHype
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V0
Tokenize Anything via PromptingCode2
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
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual PromptsCode0
T-Rex: Counting by Visual Prompting0
Visual In-Context PromptingCode4
GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure SegmentationCode1
Towards Robust and Accurate Visual Prompting0
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