Articoli correlati a Visual Question Answering: From Theory to Application
- EditoreSpringer-Nature New York Inc
- Data di pubblicazione2022
- ISBN 10 9811909636
- ISBN 13 9789811909634
- RilegaturaCopertina rigida
- LinguaInglese
- Numero edizione1
- Numero di pagine252
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Visual Question Answering: From Theory to Application (Advances in Computer Vision and Pattern Recognition)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Visual Question Answering: From Theory to Application (Advances in Computer Vision and Pattern Recognition)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Visual Question Answering
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Springer Nature Singapore Mai 2022, 2022
ISBN 10: 9811909636
ISBN 13: 9789811909634
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Buch. 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, 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. 252 pp. Englisch. Codice articolo 9789811909634
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Visual Question Answering
Editore:
Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811909636
ISBN 13: 9789811909634
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Da: moluna, Greven, Germania
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Visual Question Answering : From Theory to Application
Editore:
Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811909636
ISBN 13: 9789811909634
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. 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 9789811909634
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Visual Question Answering: From Theory to Application (Advances in Computer Vision and Pattern Recognition)
Da: California Books, Miami, FL, U.S.A.
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Condizione: New. Codice articolo I-9789811909634
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