How Long to Read Visual Domain Adaptation in the Deep Learning Era

How Long Does it Take to Read Visual Domain Adaptation in the Deep Learning Era?

It takes the average reader 3 hours and 3 minutes to read Visual Domain Adaptation in the Deep Learning Era by Gabriela Csurka

Assuming a reading speed of 250 words per minute. Learn more

Description

Solving problems with deep neural networks typically relies on massive amounts of labeled training data to achieve high performance. While in many situations huge volumes of unlabeled data can be and often are generated and available, the cost of acquiring data labels remains high. 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. The aim of this book is to provide an overview of such DA/TL methods applied to computer vision, a field whose popularity has increased significantly in the last few years. We set the stage by revisiting the theoretical background and some of the historical shallow methods before discussing and comparing different domain adaptation strategies that exploit deep architectures for visual recognition. We introduce the space of self-training-based methods that draw inspiration from the related fields of deep semi-supervised and self-supervised learning in solving the deep domain adaptation. Going beyond the classic domain adaptation problem, we then explore the rich space of problem settings that arise when applying domain adaptation in practice such as partial or open-set DA, where source and target data categories do not fully overlap, continuous DA where the target data comes as a stream, and so on. We next consider the least restrictive setting of domain generalization (DG), as an extreme case where neither labeled nor unlabeled target data are available during training. Finally, we close by considering the emerging area of learning-to-learn and how it can be applied to further improve existing approaches to cross domain learning problems such as DA and DG.

How long is Visual Domain Adaptation in the Deep Learning Era?

Visual Domain Adaptation in the Deep Learning Era by Gabriela Csurka is 182 pages long, and a total of 45,864 words.

This makes it 61% the length of the average book. It also has 56% more words than the average book.

How Long Does it Take to Read Visual Domain Adaptation in the Deep Learning Era Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 10 minutes to read Visual Domain Adaptation in the Deep Learning Era aloud.

What Reading Level is Visual Domain Adaptation in the Deep Learning Era?

Visual Domain Adaptation in the Deep Learning Era is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Visual Domain Adaptation in the Deep Learning Era?

Visual Domain Adaptation in the Deep Learning Era by Gabriela Csurka is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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