Téléchargez le livre : Visual Question Answering

Visual Question Answering

From Theory to Application de

Éditeur :

Springer


Collection :

Advances in Computer Vision and Pattern Recognition

Paru le : 2022-05-13

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Description

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.
Pages
238 pages
Collection
Advances in Computer Vision and Pattern Recognition
Parution
2022-05-13
Marque
Springer
EAN papier
9789811909634
EAN PDF
9789811909641
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
10711 Ko
Prix
94,94 €
EAN EPUB
9789811909641
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
35564 Ko
Prix
94,94 €

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