Search Results for author: Aleksandr Setkov

Found 3 papers, 1 papers with code

Spatio-temporal predictive tasks for abnormal event detection in videos

no code implementations • 27 Oct 2022 • Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier

Abnormal event detection in videos is a challenging problem, partly due to the multiplicity of abnormal patterns and the lack of their corresponding annotations.

Ranked #2 on Anomaly Detection on UCSD Ped2

Anomaly Detection Event Detection +1

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Object-centric and memory-guided normality reconstruction for video anomaly detection

no code implementations • 7 Mar 2022 • Khalil Bergaoui, Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier

This paper addresses video anomaly detection problem for videosurveillance.

Ranked #3 on Anomaly Detection on UCSD Peds2

Anomaly Detection Object +1

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PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

22 code implementations • 17 Nov 2020 • Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier

We present a new framework for Patch Distribution Modeling, PaDiM, to concurrently detect and localize anomalies in images in a one-class learning setting.

Ranked #1 on on MVTecAD

Unsupervised Anomaly Detection

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