Domain adaptation for visual understanding

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

doi:10.1007/978-3-030-30671-7_1

Domain adaptation for visual understanding

Soumyadeep Ghosh
, 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: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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
Title of host publication	Domain Adaptation for Visual Understanding
Publisher	Springer International Publishing
Pages	1-15
Number of pages	15
ISBN (Electronic)	9783030306717
ISBN (Print)	9783030306700
DOIs	https://doi.org/10.1007/978-3-030-30671-7_1
State	Published - Jan 1 2020

Keywords

Deep learning
Domain adaptation
Image classification

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10.1007/978-3-030-30671-7_1

Cite this

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AU - Vatsa, Mayank

AU - Patel, Vishal M.

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KW - Domain adaptation

KW - Image classification

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Domain adaptation for visual understanding

Abstract

Keywords

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