Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions

Understand

Visual Question Answering (VQA) is the task of answering natural-language questions about images.

• We introduce the novel problem of determining the relevance of questions to images in VQA.
• Current VQA models do not reason about whether a question is even related to the given image (e.g.
• What is the capital of Argentina?) or if it requires information from external resources to answer correctly.