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Prompt Learning
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Hierarchical Cross-modal Prompt Learning for Vision-Language Models
MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM
LifelongPR: Lifelong knowledge fusion for point cloud place recognition based on replay and prompt learning
Integrated Structural Prompt Learning for Vision-Language Models
A Survey on Prompt Tuning
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
Visual and Memory Dual Adapter for Multi-Modal Object Tracking
Multimodal Prompt Alignment for Facial Expression Recognition
Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion
DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation
Prompt-Unseen-Emotion: Zero-shot Expressive Speech Synthesis with Prompt-LLM Contextual Knowledge for Mixed Emotions
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages
An Empirical Study of Federated Prompt Learning for Vision Language Model
ValueSim: Generating Backstories to Model Individual Value Systems
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models
SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain Recommendation
ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification
Efficient Motion Prompt Learning for Robust Visual Tracking
PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore
EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting
ReSW-VL: Representation Learning for Surgical Workflow Analysis Using Vision-Language Model
Incomplete In-context Learning
Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models
Enhancing Target-unspecific Tasks through a Features Matrix
Learning Knowledge-based Prompts for Robust 3D Mask Presentation Attack Detection
Dual Prompting for Diverse Count-level PET Denoising
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing
Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identification
Bayesian Principles Improve Prompt Learning In Vision-Language Models
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning
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