Reducing False Alarms in Video Surveillance by Deep Feature Statistical
Modeling

Reducing False Alarms in Video Surveillance by Deep Feature Statistical Modeling

9 July 2023

Gabriele Facciolo

Jean-Michel Morel

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Papers citing "Reducing False Alarms in Video Surveillance by Deep Feature Statistical Modeling"

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Title
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 153 945 0 11 May 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Robin Shing Moon Chan Krzysztof Lis Svenja Uhlemeyer Hermann Blum S. Honari Roland Siegwart Pascal Fua Mathieu Salzmann Matthias Rottmann UQCV 94 136 0 30 Apr 2021
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 83 848 0 17 Nov 2020
BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos M. Tezcan Prakash Ishwar Janusz Konrad VOS 46 97 0 26 Jul 2019
Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding Long Ang Lim H. Keles 64 199 0 07 Jan 2018