Abnormal Event Detection on Avenue dataset (test)

90.4Frame AUC

object-centric convolutional auto-encoders

Updated 4d ago

Evaluation Results

Method
object-centric convolutional auto-encoders 2018.12	90.4	-
NNC 2018.01	88.9	94.1
Ionescu et al. [14] 2018.12	88.9	-
aug. cubes + k-means + one-class SVM 2018.01	86.4	93.7
Liu et al. 2018.01	85.1	-
Liu et al. [21] 2018.12	85.1	-
Smeureanu et al. 2018.01	84.6	93.5
Smeureanu et al. 2018.12	84.6	-
Liu et al. [22] 2018.12	84.4	-
aug. cubes + one-class SVM 2018.01	84.2	93.4
Luo et al. 2018.01	81.7	-
Luo et al. 2018.12	81.7	-
cubes + one-class SVM 2018.01	81.3	93
Lu et al. 2017.05	80.9	92.9
Lu et al. 2018.01	80.9	92.9
Lu et al. 2018.12	80.9	-
Unmasking (late fusion) 2017.05	80.6	93
Ionescu et al. 2018.01	80.6	93
Ionescu et al. [13] 2018.12	80.6	-
Unmasking (conv5) 2017.05	80.5	92.8
Unmasking (3D gradients) 2017.05	80.1	93
aug. cubes + k-means + 1-NN 2018.01	78.8	91.5
Del Giorno et al. 2017.05	78.3	91
Del Giorno et al. 2018.01	78.3	91
Del Giorno et al. 2018.12	78.3	-
Hasan et al. 2018.01	70.2	-
Hasan et al. 2018.12	70.2	-