Abnormal Event Detection

Benchmarks

Dataset Name	SOTA Method	Metric
UCSD Ped2 (test)	3D CNN Multi-task Learning	AUC99.8	146	4d ago
UCSD Ped2	SSMT	AUC99.8	132	4d ago
Avenue (test)		RBDC66.04	37	4d ago
UCSD Ped1 (test)	AM-GAN	Frame AUC97.4	33	4d ago
UCSD Ped1	Proposed Method	AUC0.974	28	4d ago
Avenue dataset (test)	object-centric convolutional auto-encoders	Frame AUC90.4	27	4d ago
UMN dataset		Frame AUC (All Scenes)99.7	25	4d ago
Subway Exit		Correct Detections19	14	4d ago
UMN Unusual Crowd Activity (test)		Frame-level AUC99.6	13	4d ago
UCSD Ped2 v1 (test)	Proposed method (G_theta and D_phi)	AUC96.5	12	4d ago
UCSD Ped1 v1 (test)	Optical flow-GAN	AUC97.4	12	4d ago
Subway Entrance Old labels (test)	Hasan et al.	AUC94.3	11	4d ago
Subway Entrance	Conv-AE	True Positives61	11	4d ago
Subway Exit Old labels (test)	Ionescu et al. [7]	AUC95.1	9	4d ago
Subway	Hasan et al.	Frame AUC (Entrance gate)94.3	7	4d ago
Subway Entrance gate		Frame AUC80	5	4d ago
Subway Entrance New labels (test)	Background-Agnostic Framework	AUC92.2	3	4d ago
Subway Exit New labels (test)	Background-Agnostic Framework	AUC93.7	3	4d ago
CUHK Avenue Old and New	Conv-AE	Correct Detection45	3	4d ago
Avenue 17	NNC	Frame AUC91.1	2	4d ago

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