Domain adaptation for visual understanding

Richa Singh; Mayank Vatsa; Vishal M. Patel; Nalini Ratha

doi:10.1007/978-3-030-30671-7

Domain adaptation for visual understanding

Richa Singh
, Mayank Vatsa
, Vishal M. Patel
, Nalini Ratha

Department of Computer Science and Engineering

Indraprastha Institute of Information Technology Delhi
Johns Hopkins University

Research output: Book/Report › Book › peer-review

14 Scopus citations

Abstract

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.

Original language	English
Publisher	Springer International Publishing
Number of pages	144
ISBN (Electronic)	9783030306717
ISBN (Print)	9783030306700
DOIs	https://doi.org/10.1007/978-3-030-30671-7
State	Published - Jan 1 2020

Keywords

Adversarial network
Computer vision
Domain adaptation
Generative
Machine learning
Metric learning
Reinforcement learning
Representation learning
Transfer learning

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10.1007/978-3-030-30671-7

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KW - Domain adaptation

KW - Generative

KW - Machine learning

KW - Metric learning

KW - Reinforcement learning

KW - Representation learning

KW - Transfer learning

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Domain adaptation for visual understanding

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Keywords

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