Knowledge-based visual question generation

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August undefined, 2024

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 … WebJan 1, 2024 · Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. Abstract: Though beneficial for encouraging the visual …

[2110.08226] Guiding Visual Question Generation - arXiv.org

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 … 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. ezekiel 4:9

Inferential Visual Question Generation Request PDF - ResearchGate

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. … 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 … 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 … hht mutation database

Multi-Modal Answer Validation for Knowledge-Based VQA

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. … WebFeb 15, 2024 · However, the retrieved knowledge facts may only be related to the semantics of the question, but are useless or even misleading for answer prediction. To address these issues, we investigate how to capture the purpose of visual questions and propose a Purpose Guided Visual Question Answering model, called PGVQA. hh tpa 100dWebMay 2, 2016 · Lastly we have Visual 7w[7] which attempts to split questions into 7 types based on the starting words in the question and choose local images in the scene to ask … hh tpa 25

"WebOct 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... " - Knowledge-based visual question generation

Knowledge-based visual question generation

Automatic question generation and answer assessment: a survey

WebOct 25, 2024 · A Systematic Review of Automatic Question Generation for Educational Purposes. International Journal of Artificial Intelligence in Education, 2024. paper. A … 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 …

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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 … 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 …

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

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 … 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 ...

WebSep 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 …

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 … ezekiel 48 meaningWebJul 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, … hht lung diseaseWebMar 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 ... hh tpa 25dWebOct 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; … hhtp //sahat.medu.irWebNov 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 … ezekiel 49 cerealWebJul 12, 2024 · In this paper, we propose a knowledge-based visual question generation model that can integrate visual concepts and non-visual knowledge to generate questions. To obtain visual concepts, we utilize a pre-trained object detection model to obtain object … Visual question generation task aims to generate meaningful questions about an … ezekiel 4:9 breadWebNov 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 … hh tpa 50d