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Prompt Learning

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Showing 26–50 of 678 papers

TitleStatusHype
Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language ModelsCode0
Learning Knowledge-based Prompts for Robust 3D Mask Presentation Attack Detection—0
Enhancing Target-unspecific Tasks through a Features Matrix—0
Dual Prompting for Diverse Count-level PET Denoising—0
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation—0
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote SensingCode0
Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identificationCode1
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive SurveyCode2
Bayesian Principles Improve Prompt Learning In Vision-Language Models—0
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt LearningCode0
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly DetectionsCode1
MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender SystemsCode1
Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image RestorationCode1
KAN-SAM: Kolmogorov-Arnold Network Guided Segment Anything Model for RGB-T Salient Object Detection—0
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph—0
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving—0
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation—0
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt LearningCode1
Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and ScalabilityCode0
Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models—0
Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face DetectorCode2
GAPO: Learning Preferential Prompt through Generative Adversarial Policy OptimizationCode0
Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal RepresentationsCode1
Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in HistopathologyCode0
PE-CLIP: A Parameter-Efficient Fine-Tuning of Vision Language Models for Dynamic Facial Expression RecognitionCode0
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