Adapting pedestrian detectors to new domains: A comprehensive review.

Htike, KK and Hogg, DC orcid.org/0000-0002-6125-9564 (2016) Adapting pedestrian detectors to new domains: A comprehensive review. Engineering Applications of Artificial Intelligence, 50. pp. 142-158. ISSN 0952-1976

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Copyright, Publisher and Additional Information: © 2016, Elsevier. This is an author produced version of a paper published in Engineering Applications of Artificial Intelligence. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Domain adaptation; Pedestrian detection; Feature learning; Scene-specific detector; Transfer learning
Dates:
  • Published: April 2016
  • Accepted: 16 January 2016
  • Published (online): 11 February 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 28 Oct 2016 14:17
Last Modified: 14 Apr 2017 03:46
Published Version: http://doi.org/10.1016/j.engappai.2016.01.029
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.engappai.2016.01.029

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