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Jun 9, 2023 - Python
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[ECCV‘24] Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization, CVPR 2024
利用MLM-prompt learning 做 Zero-Shot/Few-Shot/Semi-Supervised
[Nature Machine Intelligence 2023] Knowledge Graph-enhanced Molecular Contrastive Learning with Functional Prompt
[CSCWD'23] Detecting Clickbait in Chinese Social Media by Prompt Learning
[ICCV 2023 CLVL Workshop] Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
[WACV 2024] TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding
ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
A python tool for evaluating the quality of few-shot prompt learning.
Welcome to the Prompt Engineering Learning Experiments repository! This collection serves as a dynamic platform for in-depth exploration and experimentation with prompt-driven code learning. You can explore and try out different coding experiments that are made just for learning.
Source-free Domain Generalization
[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
PyTorch implementation of our PRCV 2024 paper "Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning"
Official implementation of AAAI'24 paper "VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection"
Code of paper: "ELECTRA is a Zero-shot learner, Too" -- Prompt-based ELECTRA for zero-shot learning.
[ICPR 2024] Exemplar-free continual deepfake detector that leverages CLIP and domain-specific multi-modal prompts
Archive of Prompt Engineering🚀
Prompt Learning with Residual Context Optimization for Vision-Language Models (2023)
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