Visual Question Answering : From Theory to Application /

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 p...

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Bibliographic Details

Main Authors:	Wu, Qi (Author), Wang, Peng (Author), Wang, Xin (Author), He, Xiaodong (Author), Zhu, Wenwu (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Series:	Advances in Computer Vision and Pattern Recognition,
Subjects:	Computer vision. Machine learning. Expert systems (Computer science). Logic programming. Computer Vision. Machine Learning. Knowledge Based Systems. Logic in AI. Electronic books.
Online Access:	Connect to the full text of this electronic book