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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 1120 of 127 papers

TitleStatusHype
Chameleon: Fast-slow Neuro-symbolic Lane Topology ExtractionCode2
Explicit Visual Prompting for Universal Foreground SegmentationsCode2
Tokenize Anything via PromptingCode2
Attention Prompting on Image for Large Vision-Language ModelsCode2
Visual Prompting via Image InpaintingCode2
Memory-Space Visual Prompting for Efficient Vision-Language Fine-TuningCode2
Exploring the Transferability of Visual Prompting for Multimodal Large Language ModelsCode1
BlackVIP: Black-Box Visual Prompting for Robust Transfer LearningCode1
EZ-CLIP: Efficient Zeroshot Video Action RecognitionCode1
GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure SegmentationCode1
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