Domain Adaptation For Vision Applications
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Type: BOOK - Published: 2020-08-18 - Publisher: Springer Nature
This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the state-of-the-art researc
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Type: BOOK - Published: 2017-09-10 - Publisher: Springer
This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual a
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Type: BOOK - Published: 2022-04-05 - Publisher: Morgan & Claypool Publishers
Solving problems with deep neural networks typically relies on massive amounts of labeled training data to achieve high performance/b>. While in many situations
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Pages: 144
Pages: 144
Type: BOOK - Published: 2020-01-08 - Publisher: Springer Nature
This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable i
