Knowledge-based visual question generation
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 … WebJul 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 …
Knowledge-based visual question generation
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WebApr 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 … 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 ...
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 … 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 …
WebOct 25, 2024 · A Systematic Review of Automatic Question Generation for Educational Purposes. International Journal of Artificial Intelligence in Education, 2024. paper. A … 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.
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.
WebApr 12, 2024 · Diffusion-based Generation, Optimization, and Planning in 3D Scenes ... Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual … night riders chartersWebSep 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 … nsaid and cox selectivityWebMay 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 … nsaid and cirrhosis of the liverWebSep 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 … nsaid and colitisWebQi 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 … nightriders bowling leagueWebMay 13, 2024 · The knowledge-routed visual question reasoning (KRVQA) dataset [ 5] is the first large-scale dataset that requires knowledge reasoning on natural images. The dataset consists of 32,910 images, 157,201 pairs of different types of questions and answers and 194,449 knowledge triplets. The average length of the questions is 11.7 words. night riders caddyshackWebMay 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 … night riders definition