Domain Adaptation for Visual Understanding
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 mo…
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Produktdetails
Weitere Autoren: Ratha, Nalini (Hrsg.) / Patel, Vishal M. (Hrsg.) / Vatsa, Mayank (Hrsg.)
- ISBN: 978-3-030-30673-1
- EAN: 9783030306731
- Produktnummer: 37350813
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 156 S.
- Masse: H23.5 cm x B15.5 cm x D0.8 cm 248 g
- Auflage: 1st ed. 2020
- Abbildungen: Paperback
- Gewicht: 248
Über den Autor
Dr. Richa Singh is a Professor at Indraprastha Institute of Information Technology, Delhi, India. Dr. Mayank Vatsa is a Professor at the same institution. Dr. Vishal M. Patel is an Assistant Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, Baltimore, MD, USA. Dr. Nalini Ratha is a Research Staff Member at the IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA.
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