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Abnormal Event Detection on UMN dataset

99.7Frame AUC (All Scenes)Sun et al.
83.37287.61191.8596.089May 23, 2017Jul 1, 2017Aug 9, 2017Sep 17, 2017Oct 26, 2017Dec 4, 2017Jan 12, 2018

Evaluation results

MethodLinks
Sun et al.2017.0599.799.899.399.9
Sun et al.2018.0199.799.899.399.9
NNC2018.0199.399.998.299.8
Proposed MethodEvaluation Level=frame-level2017.0899———
Ravanbakhsh et al.2018.0199———
Zhang et al.2017.0598.799.298.398.7
Zhang et al.2018.0198.799.298.398.7
Saligrama et al.2017.0598.5———
Saligrama et al.2018.0198.5———
CommotionEvaluation Level=frame-level2017.0898———
Plug-and-Play CNNEvaluation Level=frame-level2017.0898———
Cong et al.2017.0597.899.597.596.4
Cong et al.2018.0197.899.597.596.4
Smeureanu et al.2018.0197.198.893.698.9
Sparse ReconstructionEvaluation Level=frame-level2017.0897———
Mehran et al.2017.0596———
SFMEvaluation Level=frame-level2017.0896———
Mehran et al.2018.0196———
Unmasking frameworkFeatures=late fusion2017.0595.199.387.798.2
Ionescu et al.2018.0195.199.387.798.2
Unmasking frameworkFeatures=conv52017.0594.598.986.598.5
Unmasking frameworkFeatures=3D gradients2017.059499.784.997.4
Del Giorno et al.2017.0591———
Del Giorno et al.2018.0191———
optical-flowEvaluation Level=frame-level2017.0884———