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Prompt Learning

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Showing 551–575 of 678 papers

TitleStatusHype
Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancement—0
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models—0
Urban Region Representation Learning: A Flexible Approach—0
Using Global Land Cover Product as Prompt for Cropland Mapping via Visual Foundation Model—0
V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection—0
ValueSim: Generating Backstories to Model Individual Value Systems—0
Vector-Quantized Prompt Learning for Paraphrase Generation—0
Visual Prompt Flexible-Modal Face Anti-Spoofing—0
Visual Prompting in Multimodal Large Language Models: A Survey—0
Weighted Sampling for Masked Language Modeling—0
What Makes Good Few-shot Examples for Vision-Language Models?—0
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization—0
XR-VLM: Cross-Relationship Modeling with Multi-part Prompts and Visual Features for Fine-Grained Recognition—0
Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation—0
Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models—0
Probabilistic Prompt Learning for Dense Prediction—0
ProG: A Graph Prompt Learning Benchmark—0
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction—0
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental LearningCode0
PIP: Prototypes-Injected Prompt for Federated Class Incremental LearningCode0
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised LearningCode0
PRE: Vision-Language Prompt Learning with Reparameterization EncoderCode0
A Survey on Prompt TuningCode0
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image SegmentationCode0
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot LearningCode0
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