Domain Adaptation for Visual Understanding is popular PDF and ePub book, written by Richa Singh in 2020-01-08, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Domain Adaptation for Visual Understanding can be Read Online from any device for your convenience.
Domain Adaptation for Visual Understanding Book PDF Summary
This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field. The text presents a diverse selection of novel techniques, covering applications of object recognition, face recognition, and action and event recognition. Topics and features: reviews the domain adaptation-based machine learning algorithms available for visual understanding, and provides a deep metric learning approach; introduces a novel unsupervised method for image-to-image translation, and a video segment retrieval model that utilizes ensemble learning; proposes a unique way to determine which dataset is most useful in the base training, in order to improve the transferability of deep neural networks; describes a quantitative method for estimating the discrepancy between the source and target data to enhance image classification performance; presents a technique for multi-modal fusion that enhances facial action recognition, and a framework for intuition learning in domain adaptation; examines an original interpolation-based approach to address the issue of tracking model degradation in correlation filter-based methods. This authoritative work will serve as an invaluable reference for researchers and practitioners interested in machine learning-based visual recognition and understanding.
Detail Book of Domain Adaptation for Visual Understanding PDF
- Author : Richa Singh
- Release : 08 January 2020
- Publisher : Springer Nature
- ISBN : 9783030306717
- Genre : Computers
- Total Page : 144 pages
- Language : English
- PDF File Size : 11,5 Mb
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