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Visual Domain Adaptation in the Deep Learning Era

By: Gabriela Csurka (Author) , Timothy M. Hospedales (Author) , Mathieu Salzmann (Author)

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Ksh 9,500.00

Format: Paperback or Softback

ISBN-13: 9783031791703

Publisher: Springer International Publishing AG

Publication Date: Apr 5th, 2022

Dimension: 23.50 x 19.10 x 37.20 cms

Category: Pattern recognition

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Transfer learning (TL), and in particular domain adaptation (DA), has emerged as an effective solution to overcome the burden of annotation, exploiting the unlabeled data available from the target domain together with labeled data or pre-trained models from similar, yet different source domains.

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