Knowledge-based visual question generation
WebJul 1, 2024 · This paper addresses the task of knowledge-based visual question answering and provides a benchmark, called OK-VQA, where the image content is not sufficient to answer the questions, encouraging methods that rely on external knowledge resources. 217 PDF View 1 excerpt, cites background SUBMITTED VERSION K. Napier, I. Nardecchia, … WebMar 15, 2024 · Visual Question Generation (VQG) is a task to generate questions from images. When humans ask questions about an image, their goal is often to acquire some new knowledge. However, existing studies on VQG have mainly addressed question generation from answers or question categories, overlooking the objectives of knowledge …
Knowledge-based visual question generation
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WebMay 28, 2024 · Visual question generation (VQG) is an interesting problem that has recently received attention. The task of VQG involves generating meaningful questions based on … WebOct 25, 2024 · A Systematic Review of Automatic Question Generation for Educational Purposes. International Journal of Artificial Intelligence in Education, 2024. paper. A …
WebMay 13, 2024 · VQG can be considered a complementary task of visual question answering. This task involves generating meaningful questions based on the input image. In … WebApr 12, 2024 · Diffusion-based Generation, Optimization, and Planning in 3D Scenes ... Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering Zhenwei Shao · Zhou Yu · Meng Wang · Jun Yu Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
WebMar 15, 2024 · Visual Question Generation (VQG) is a task to generate questions from images. When humans ask questions about an image, their goal is often to acquire some … WebMar 14, 2024 · Abstract. In traditional Visual Question Generation (VQG), most images have multiple concepts (e.g. objects and categories) for which a question could be generated, but models are trained to mimic an arbitrary choice of concept as given in their training data. This makes training difficult and also poses issues for evaluation – multiple valid ...
WebNov 1, 2024 · In this paper, we propose a knowledge-based visual question generation model that can integrate visual concepts and non-visual knowledge to generate …
WebMay 13, 2024 · In this chapter, we first introduce the main datasets proposed for knowledge-based VQA and knowledge bases such as DBpedia and ConceptNet. … la 220 キャノンWebAug 5, 2024 · The automation of question generation using ontology creates both simple and complex questions. The use of the new ontology model in this research has many advantages in accuracy, variety, and adaptability. Based on the experiments conducted, it is demonstrated that the proposed method can generate questions with an accuracy of … affitto studenti ferraraWebDec 1, 2024 · Introduction. Visual question answering (VQA) [1] is an attractive research direction aiming to jointly analyze multimodal content from images and natural language. … affitto stanze riminiWebJan 1, 2024 · Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. Abstract: Though beneficial for encouraging the visual … affitto studenti paviaWebMay 28, 2024 · Visual question generation (VQG) is an interesting problem that has recently received attention. The task of VQG involves generating meaningful questions based on … affitto studenti fuori sede detrazione 2022WebThe problem of knowledge-based visual question answering involves answering questions that require external knowl-edge in addition to the content of the image. Such knowl- ... trieval stage, we parse noun phrases from the question and answers, and generate queries for each phrase to query ex-ternal resources. In order to better comprehend the ... affitto studenti parmaWeb3. Information Maximizing Visual Question Generator Our aim is to generate questions that have a tightly fo-cused purpose — questions with the aim to learn some-thing specific … affitto studenti roma tor vergata