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Visual Question Answering : From Theory to Application / by Qi Wu, Peng Wang, Xin Wang, Xiaodong He, Wenwu Zhu
(Advances in Computer Vision and Pattern Recognition. ISSN:21916594)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
大きさ	XIII, 238 p. 104 illus., 92 illus. in color : online resource
著者標目	*Wu, Qi author Wang, Peng author Wang, Xin author He, Xiaodong author Zhu, Wenwu author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002143	Computer Scinece R0 2005-6,2022-3				9789811909641

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一般注記	1. Introduction -- 2. Deep Learning Basics -- 3. Question Answering (QA) Basics -- 4. The Classical Visual Question Answering -- 5. Knowledge-based VQA Visual Question Answering (VQA) usually combines visual inputs like image and video with a natural language question concerning the input and generates a natural language answer as the output. This is by nature a multi-disciplinary research problem, involving computer vision (CV), natural language processing (NLP), knowledge representation and reasoning (KR), etc. Further, VQA is an ambitious undertaking, as it must overcome the challenges of general image understanding and the question-answering task, as well as the difficulties entailed by using large-scale databases with mixed-quality inputs. However, with the advent of deep learning (DL) and driven by the existence of advanced techniques in both CV and NLP and the availability of relevant large-scale datasets, we have recently seen enormous strides in VQA, with more systems and promising results emerging. This book provides a comprehensive overview of VQA, covering fundamental theories, models, datasets, and promising future directions. Given its scope, it can be used as a textbook on computer vision and natural language processing, especially for researchers and students in the area of visual question answering. It also highlights the key models used in VQA HTTP:URL=https://doi.org/10.1007/978-981-19-0964-1
件　名	LCSH:Computer vision LCSH:Machine learning LCSH:Expert systems (Computer science) LCSH:Logic programming FREE:Computer Vision FREE:Machine Learning FREE:Knowledge Based Systems FREE:Logic in AI
分　類	LCC:TA1634 DC23:006.37
書誌ID	EB00001531
ISBN	9789811909641