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Robust And Computationally-Efficient Anomaly Detection Using Powers-Of-Two Networks

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IEEE ICASSP 2020 Virtual Conference May 2020

Robust and computationally efficient anomaly detection in videos is a problem in video surveillance systems. We propose a technique to increase robustness and reduce computational complexity in a Convolutional Neural Network (CNN) based anomaly detector t

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Robust And Computationally-Efficient Anomaly Detection Using Powers-Of-Two Networks

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Robust and computationally efficient anomaly detection in videos is a problem in video surveillance systems. We propose a technique to increase robustness and reduce computational complexity in a Convolutional Neural Network (CNN) based anomaly detector t