Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection

Gong, Dong, Liu, Lingqiao, Le, Vuong, Saha, Budhaditya, Mansour, Moussa Reda, Venkatesh, Svetha and Van Den Hengel, Anton 2019, Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection, in ICCV 2019 : Proceedings of the IEEE International Conference on Computer Vision, IEEE, Pisctaway, N.J., pp. 1705-1714, doi: 10.1109/ICCV.2019.00179.

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Title Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection
Author(s) Gong, Dong
Liu, Lingqiao
Le, VuongORCID iD for Le, Vuong orcid.org/0000-0003-1582-1269
Saha, BudhadityaORCID iD for Saha, Budhaditya orcid.org/0000-0001-8011-6801
Mansour, Moussa Reda
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Van Den Hengel, Anton
Conference name Computer Vision. Conference (2019 : Seoul, South Korea)
Conference location Seoul, South Korea
Conference dates 27 Oct. - 2 Nov. 2019
Title of proceedings ICCV 2019 : Proceedings of the IEEE International Conference on Computer Vision
Publication date 2019
Start page 1705
End page 1714
Total pages 10
Publisher IEEE
Place of publication Pisctaway, N.J.
ISBN 9781728148038
ISSN 1550-5499
Language eng
DOI 10.1109/ICCV.2019.00179
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135927

Document type: Conference Paper
Collection: A2I2 (Applied Artificial Intelligence Institute)
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