Semi-supervised Anomaly Detection on UBI-Fights

Metric: EER (higher is better)

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#	Model↕	EER▼	Extra Data	Paper	Date↕	Code
1	Adversarial Generator	0.484	No	Abnormal Event Detection in Videos using Generat...	2017-08-31	-
2	LSTM-AE	0.48	No	Abnormal Event Detection in Videos using Spatiot...	2017-01-06	Code
3	s2-VAE	0.475	No	-	-	Code
4	Hasan et al.	0.466	No	Learning Temporal Regularity in Video Sequences	2016-04-15	Code
5	Sultani et al.	0.294	No	Real-world Anomaly Detection in Surveillance Vid...	2018-01-12	Code
6	SS-Model	0.284	No	-	-	Code
7	SS-Model + WS-Model + Sultani et al.	0.216	No	-	-	Code

#1Adversarial GeneratorSOTA
0.484
EER· 2017-08-31
Abnormal Event Detection in Videos using Generative Adversarial Nets
#2LSTM-AESOTA
0.48
EER· 2017-01-06
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder Code
#3s2-VAE
0.475
EER
No paperCode
#4Hasan et al.SOTA
0.466
EER· 2016-04-15
Learning Temporal Regularity in Video Sequences Code
#5Sultani et al.
0.294
EER· 2018-01-12
Real-world Anomaly Detection in Surveillance Videos Code
#6SS-Model
0.284
EER
No paperCode
#7SS-Model + WS-Model + Sultani et al.
0.216
EER
No paperCode