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Prompt Learning

Papers

Showing 426450 of 678 papers

TitleStatusHype
Adaptive Multi-Modality Prompt Learning0
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation0
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight ErasersCode1
ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation0
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 Sensing0
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP0
ID-like Prompt Learning for Few-Shot Out-of-Distribution DetectionCode1
Vector-Quantized Prompt Learning for Paraphrase Generation0
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 Models0
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 Enhancement0
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization0
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 models0
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