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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

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Showing 71–80 of 127 papers

TitleStatusHype
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model—0
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks—0
Memory-Space Visual Prompting for Efficient Vision-Language Fine-TuningCode2
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting—0
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language ModelsCode4
BLINK: Multimodal Large Language Models Can See but Not Perceive—0
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale ApproachCode1
Exploring the Transferability of Visual Prompting for Multimodal Large Language ModelsCode1
Finding Visual Task VectorsCode1
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation—0
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