Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
–Neural Information Processing Systems
Existing methods on visual knowledge extraction often rely on the predefined format (e.g., sub-verb-obj tuples) or vocabulary (e.g., relation types), restricting the expressiveness of the extracted knowledge. In this work, we take a first exploration to a new paradigm of open visual knowledge extraction.
Neural Information Processing Systems
Oct-8-2025, 15:15:21 GMT
- Country:
- Asia
- China > Hong Kong (0.04)
- Middle East > Republic of Türkiye
- Karaman Province > Karaman (0.04)
- Asia
- Genre:
- Research Report > New Finding (0.46)
- Industry:
- Health & Medicine (0.68)
- Technology:
- Information Technology
- Artificial Intelligence
- Cognitive Science > Problem Solving (0.46)
- Machine Learning > Neural Networks
- Deep Learning (0.46)
- Natural Language > Large Language Model (0.70)
- Representation & Reasoning (1.00)
- Vision (1.00)
- Data Science > Data Mining (1.00)
- Sensing and Signal Processing > Image Processing (1.00)
- Artificial Intelligence
- Information Technology