9789811909634 - visual question answering: from theory to application (advances in computer vision and pattern recognition) de wang, peng; wu, qi; wang, xin (14 resultados)
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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Editorial: Springer, Berlin|Springer Nature Singapore|Springer 2022
Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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Buch. Condición: 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, involv…ing 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.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: 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.
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Editorial: Springer 2022
Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 pr…oblem, 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 252 pp. Englisch.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 83 de 86. Libro 83 de 86 - Advances in Computer Vision and Pattern Recognition
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