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Prompt Learning

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Showing 401–450 of 678 papers

TitleStatusHype
A Prompt Learning Framework for Source Code SummarizationCode1
Modality-missing RGBT Tracking: Invertible Prompt Learning and High-quality BenchmarksCode1
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning—0
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent RecognitionCode1
External Knowledge Augmented Polyphone Disambiguation Using Large Language Model—0
Understanding the Multi-modal Prompts of the Pre-trained Vision-Language Model—0
Bi-directional Adapter for Multi-modal TrackingCode1
K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning—0
Simple Image-level Classification Improves Open-vocabulary Object DetectionCode1
Prompt-based Distribution Alignment for Unsupervised Domain AdaptationCode1
Exploration of visual prompt in Grounded pre-trained open-set detection—0
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning—0
LAMM: Label Alignment for Multi-Modal Prompt LearningCode1
Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning—0
Domain Prompt Learning with Quaternion Networks—0
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsCode1
OpenSD: Unified Open-Vocabulary Segmentation and DetectionCode0
Prompt-In-Prompt Learning for Universal Image RestorationCode1
Large Language Models are Good Prompt Learners for Low-Shot Image ClassificationCode1
SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited ScenariosCode0
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration—0
HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning—0
APoLLo: Unified Adapter and Prompt Learning for Vision Language ModelsCode1
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting—0
Efficient Multimodal Semantic Segmentation via Dual-Prompt LearningCode1
Adaptive Multi-Modality Prompt Learning—0
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation—0
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight ErasersCode1
ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation—0
Unified-modal Salient Object Detection via Adaptive Prompt LearningCode1
Graph Prompt Learning: A Comprehensive Survey and BeyondCode2
GraphPro: Graph Pre-training and Prompt Learning for RecommendationCode1
Can Out-of-Domain data help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?Code0
Source-Free Domain Adaptation with Frozen Multimodal Foundation ModelCode2
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing—0
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP—0
ID-like Prompt Learning for Few-Shot Out-of-Distribution DetectionCode1
Vector-Quantized Prompt Learning for Paraphrase Generation—0
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt LearningCode1
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models—0
Active Prompt Learning in Vision Language ModelsCode1
Plum: Prompt Learning using MetaheuristicCode1
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot LearningCode0
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation ModelsCode1
CLIP Guided Image-perceptive Prompt Learning for Image Enhancement—0
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization—0
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly DetectionCode2
Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identificationCode1
Unveiling the Power of CLIP in Unsupervised Visible-Infrared Person Re-IdentificationCode1
Unleashing the potential of prompt engineering for large language models—0
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