Papers Visual Prompting
“Visual Prompting” 태그가 달린 논문 127편 · 필터 해제
Text-Visual Prompting for Efficient 2D Temporal Video Grounding
In this paper, we study the problem of temporal video grounding (TVG), which aims to predict the starting/ending time points of moments described by a text sentence within a long untrimmed video. Benefiting from fine-gra…
SentenceVideo GroundingVisual PromptingUnleashing the Power of Visual Prompting At the Pixel Level
This paper presents a simple and effective visual prompting method for adapting pre-trained models to downstream recognition tasks. Our method includes two key designs. First, rather than directly adding together the pro…
DiversityVisual PromptingUnderstanding and Improving Visual Prompting: A Label-Mapping Perspective
We revisit and advance visual prompting (VP), an input prompting technique for vision tasks. VP can reprogram a fixed, pre-trained source model to accomplish downstream tasks in the target domain by simply incorporating …
Transfer LearningVisual PromptingVisual Prompting for Adversarial Robustness
In this work, we leverage visual prompting (VP) to improve adversarial robustness of a fixed, pre-trained model at testing time. Compared to conventional adversarial defenses, VP allows us to design universal (i.e., data…
Adversarial DefenseAdversarial RobustnessVisual PromptingFS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training
This paper is on Few-Shot Object Detection (FSOD), where given a few templates (examples) depicting a novel class (not seen during training), the goal is to detect all of its occurrences within a set of images. From a pr…
Few-Shot Object Detectionobject-detectionObject DetectionVisual PromptingVisual Prompting via Image Inpainting
How does one adapt a pre-trained visual model to novel downstream tasks without task-specific finetuning or any model modification? Inspired by prompting in NLP, this paper investigates visual prompting: given input-outp…
ColorizationEdge DetectionForeground SegmentationImage Inpainting+4Exploring Visual Prompts for Adapting Large-Scale Models
We investigate the efficacy of visual prompting to adapt large-scale models in vision. Following the recent approach from prompt tuning and adversarial reprogramming, we learn a single image perturbation such that a froz…
Visual Prompting