Knowledge-based visual question generation

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August undefined, 2024

WebApr 12, 2024 · Diffusion-based Generation, Optimization, and Planning in 3D Scenes ... Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual … WebThe 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 ...

Inferential Visual Question Generation Proceedings of the 30th …

WebQi Wu, Peng Wang, Chunhua Shen, Anthony Dick, and Anton van den Hengel. Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources. In Proc. CVPR , 2016. Google Scholar; Huijuan Xu and Kate Saenko. Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering. In Proc. ECCV … WebThe task of Visual Question Generation (VQG) aims to generate natural language questions for images. Many methods regard it as a reverse Visual Question Answering (VQA) task. They trained a data-driven generator on VQA datasets, which is hard to obtain questions that can challenge robots and humans. dr mcsherry timaru

Question Generation - Devopedia

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 … WebDec 1, 2024 · Introduction. Visual question answering (VQA) [1] is an attractive research direction aiming to jointly analyze multimodal content from images and natural language. … 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 … dr mcshea bluffton sc

Prompting Large Language Models with Answer Heuristics for Knowledge …

Knowledge-Based Visual Question Generation IEEE …

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 … Web3. 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 … dr mcsharry bristol tnWebApr 17, 2024 · Knowledge-Based Visual Question Answering in Videos. We propose a novel video understanding task by fusing knowledge-based and video question answering. … dr mcshannic summa

"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 … " - Knowledge-based visual question generation

Knowledge-based visual question generation

[2203.07890] K-VQG: Knowledge-aware Visual Question …

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 WebOct 10, 2024 · Visual question answering (VQA) is an emerging topic which links textual questions with visual input. To the best of our knowledge, it lacks automatic method to generate reasonable and versatile ...

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WebMay 23, 2024 · In education, question generation helps in assessing reading comprehension. Students can use it for self-assessment. It can be used to create quizzes …

WebMar 18, 2024 · Question Generation and Learner’s Assessment Automatic question generation (AQG) performs a significant role in educational assessment. Handmade question creation takes much labor, time and cost, and manual answer assessment is also a time-consuming task. WebMar 3, 2024 · Knowledge-based visual question answering (VQA) requires external knowledge beyond the image to answer the question. Early studies retrieve required knowledge from explicit knowledge bases (KBs), which often introduces irrelevant information to the question, hence restricting the performance of their models.

WebSep 10, 2024 · Knowledge-based visual question answering (VQA) involves answering questions that require external knowledge not present in the image. Existing methods first retrieve knowledge from external resources, then reason over the selected knowledge, the input image, and question for answer prediction. However, this two-step approach could … 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, …

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 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 … cold repair steelWebMay 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 … dr mcsheaWebMay 13, 2024 · In this chapter, we first introduce the main datasets proposed for knowledge-based VQA and knowledge bases such as DBpedia and ConceptNet. … dr mcsherry dentistWebOct 15, 2024 · We propose two variants: (i) an explicitly guided model that enables an actor (human or automated) to select which objects and categories to generate a question for; … dr mcshannicWebSep 8, 2016 · DirectX End-User Runtime Web Installer. We introduce this dataset in order to support the novel task of Visual Question Generation (VQG), where, given an image, the … cold reset iphone 12WebOct 17, 2024 · There are several visualization tools available for scientists that allow for modeling, simulation and visualization of complex biological systems data. The functionality and features of these... cold resistance genes and raceWebApr 13, 2024 · With the warming up and continuous development of machine learning, especially deep learning, the research on visual question answering field has made significant progress, with important theoretical research significance and practical application value. Therefore, it is necessary to summarize the current research and … dr mcshirley cardiologist