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Visual Question Answering : From Theory to Application - 2022 ed.

By: (Author) Peng Wang , (Author) Qi Wu , (Author) Wenwu Zhu , (Author) Xiaodong He , (Author) Xin Wang

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Ksh 21,600.00

Format: Hardback or Cased Book

ISBN-10: 9811909636

ISBN-13: 9789811909634

Edition: 2022 ed.

Series: Advances in Computer Vision and Pattern Recognition

Publisher: Springer Verlag, Singapore

Imprint: Springer Nature

Country of Manufacture: GB

Country of Publication: GB

Publication Date: May 14th, 2022

Print length: 238 Pages

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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.

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