20 citations · 55 across the 10 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CV2021★ 20 cited
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks +3
Machine learning models often encounter samples that are diverged from the training distribution. Failure to recognize an out-of-distribution (OOD) sample, and consequently assign…
cs.CV2021★ 1 cited
Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies
Masoud Pourreza, Mohammadreza Salehi, Mohammad Sabokrou
Video anomaly detection has proved to be a challenging task owing to its unsupervised training procedure and high spatio-temporal complexity existing in real-world scenarios. In th…