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Anomaly Detection on Avenue

0.928AUC3D CNN Multi-task Learning
0.692960.753980.8150.87602Nov 15, 2020
Updated 8mo ago

Evaluation results

MethodLinks
3D CNN Multi-task LearningProcessing Level=Late fusion2020.110.928
3D CNN Multi-task LearningProcessing Level=Object level2020.110.919
Ionescu et al.Year=20192020.110.904
Lee et al.Year=20192020.110.9
Sun et al.Year=20202020.110.896
Yu et al.Year=20202020.110.896
Ionescu et al.Year=20192020.110.889
Park et al.Year=20202020.110.885
Lee et al.Year=20182020.110.872
Ramachandra et al.Year=20202020.110.872
Wang et al.Year=20202020.110.87
Nguyen et al.Year=20192020.110.869
3D CNN Multi-task LearningProcessing Level=Frame level2020.110.869
Wu et al.Year=20192020.110.866
Doshi et al.Year=20202020.110.864
Lu et al.Year=20202020.110.858
Liu et al.Year=20182020.110.851
Tang et al.Year=20202020.110.851
Dong et al.Year=20202020.110.849
Smeureanu et al.Year=20172020.110.846
Liu et al.Year=20182020.110.844
Gong et al.Year=20192020.110.833
Luo et al.Year=20172020.110.817
Lu et al.Year=before 20162020.110.809
Ionescu et al.Year=20172020.110.806
Del Giorno et al.Year=20162020.110.783
Ji et al.Year=20202020.110.783
Ramachandra et al.Year=20202020.110.72
Vu et al.Year=20192020.110.715
Hasan et al.Year=20162020.110.702