Zero-shot anomalous object detection using unsupervised metric learning

Liu, J., Qi, X., Su, S. et al. (2 more authors) (Submitted: 2021) Zero-shot anomalous object detection using unsupervised metric learning. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) Proceedings. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), 27 Sep - 01 Oct 2021, Prague, Czech Republic. . (Submitted)

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Authors.
Dates:
  • Submitted: 5 March 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Science Research CouncilEP/R026092/1
The Royal SocietyRGS\R2\202432
Depositing User: Symplectic Sheffield
Date Deposited: 22 Mar 2021 12:09
Last Modified: 16 Apr 2021 12:42
Status: Submitted
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