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Prompt Learning

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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection

Prompt-based Unifying Inference Attack on Graph Neural Networks

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation

PLPP: Prompt Learning with Perplexity Is Self-Distillation for Vision-Language Models

PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts

CoopetitiveV: Leveraging LLM-powered Coopetitive Multi-Agent Prompting for High-quality Verilog Generation

Unpaired Multi-Domain Histopathology Virtual Staining using Dual Path Prompted Inversion

PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images

CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning

ATPrompt: Textual Prompt Learning with Embedded Attributes

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?

TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning

Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization

Leveraging Content and Context Cues for Low-Light Image Enhancement

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection

Are foundation models for computer vision good conformal predictors?

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis

NLPrompt: Noise-Label Prompt Learning for Vision-Language Models

See What You Seek: Semantic Contextual Integration for Cloth-Changing Person Re-Identification

QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain

Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection

Instance-Aware Graph Prompt Learning

Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models

PromptHSI: Universal Hyperspectral Image Restoration with Vision-Language Modulated Frequency Adaptation

BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models

UrbanDiT: A Foundation Model for Open-World Urban Spatio-Temporal Learning

Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-Resolution

Federated Domain Generalization via Prompt Learning and Aggregation

Golden Noise for Diffusion Models: A Learning Framework

Prompt-enhanced Network for Hateful Meme Classification

GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection

Best Practices for Distilling Large Language Models into BERT for Web Search Ranking

In the Era of Prompt Learning with Vision-Language Models

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