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Prompt Learning
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
DualFocus: Integrating Plausible Descriptions in Text-based Person Re-identification
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning
Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language
Soft Prompt Generation for Domain Generalization
Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders
Transitive Vision-Language Prompt Learning for Domain Generalization
PromptCL: Improving Event Representation via Prompt Template and Contrastive Learning
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting
PromptCIR: Blind Compressed Image Restoration with Prompt Learning
Training-Free Unsupervised Prompt for Vision-Language Models
AAPL: Adding Attributes to Prompt Learning for Vision-Language Models
V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation
Multi-Modal Prompt Learning on Blind Image Quality Assessment
Single-temporal Supervised Remote Change Detection for Domain Generalization
Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language Models
A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions
Conditional Prototype Rectification Prompt Learning
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
Learning Transferable Negative Prompts for Out-of-Distribution Detection
Class-Incremental Few-Shot Event Detection
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
Prompt Learning via Meta-Regularization
Prompt Learning for Oriented Power Transmission Tower Detection in High-Resolution SAR Images
Effectively Prompting Small-sized Language Models for Cross-lingual Tasks via Winning Tickets
Training-Free Semantic Segmentation via LLM-Supervision
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
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