Visual Question Answering: From Theory to Application - Brossura

Wu, Qi; Wang, Peng; Wang, Xin; He, Xiaodong; Zhu, Wenwu

9789811909665: Visual Question Answering: From Theory to Application

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ISBN 10: 9811909660 ISBN 13: 9789811909665

Casa editrice: Springer, 2023

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EditoreSpringer
Data di pubblicazione2023
ISBN 10 9811909660
ISBN 13 9789811909665
RilegaturaCopertina flessibile
LinguaInglese
Numero edizione1
Numero di pagine252

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9789811909634: Visual Question Answering: From Theory to Application

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ISBN 10: 9811909636 ISBN 13: 9789811909634
Casa editrice: Springer-Nature New York Inc, 2022
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Visual Question Answering

Qi Wu

Editore: Springer Nature Singapore Mai 2023, 2023

ISBN 10: 9811909660 ISBN 13: 9789811909665

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 252 pp. Englisch. Codice articolo 9789811909665

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Visual Question Answering: From Theory to Application (Advances in Computer Vision and Pattern Recognition)

Wu, Qi; Wang, Peng; Wang, Xin; He, Xiaodong; Zhu, Wenwu

Editore: Springer, 2023

ISBN 10: 9811909660 ISBN 13: 9789811909665

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Visual Question Answering : From Theory to Application

Qi Wu

Editore: Springer Nature Singapore, 2023

ISBN 10: 9811909660 ISBN 13: 9789811909665

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Da: AHA-BUCH GmbH, Einbeck, Germania

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, andpromising 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. Codice articolo 9789811909665

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