Explicit Knowledge-based Reasoning for Visual Question Answering
2017pp. 1290–1296
Citations Over TimeTop 10% of 2017 papers
Abstract
We describe a method for visual question answering which is capable of reasoning about an image on the basis of information extracted from a large-scale knowledge base. The method not only answers natural language questions using concepts not contained in the image, but can explain the reasoning by which it developed its answer. It is capable of answering far more complex questions than the predominant long short-term memory-based approach, and outperforms it significantly in testing. We also provide a dataset and a protocol by which to evaluate general visual question answering methods.
Related Papers
- → A Survey: Complex Knowledge Base Question Answering(2022)10 cited
- → Knowledge Base Question Answering for Intelligent Maintenance of Power Plants(2021)3 cited
- → Research on the method of knowledge base question answering(2021)2 cited
- → The Combination of Context Information to Enhance Simple Question Answering(2018)4 cited
- Overview and Methods of Knowledge Base Question Answering(2021)