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Papers Benchmarks Datasets Tasks

Abnormal Event Detection research benchmarks · SOTA2 Research

Abnormal Event Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

99.8AUC

163

May 12, 2026

UCSD Ped2 (test)

3D CNN Multi-task Learning

99.8AUC

146

Feb 26, 2026

Method [54] + [27]

66.04RBDC

37

Feb 26, 2026

UCSD Ped1 (test)

97.4Frame AUC

33

Feb 26, 2026

Proposed Method

0.974AUC

28

Feb 26, 2026

Avenue dataset (test)

object-centric convolutional auto-encoders

90.4Frame AUC

27

Feb 26, 2026

99.7Frame AUC (All Scenes)

25

Feb 26, 2026

19Correct Detections

14

Feb 26, 2026

UMN Unusual Crowd Activity (test)

Sabokrou et al.

99.6Frame-level AUC

13

Feb 26, 2026

UCSD Ped2 v1 (test)

Proposed method (G_theta and D_phi)

96.5AUC

12

Feb 26, 2026

UCSD Ped1 v1 (test)

Optical flow-GAN

97.4AUC

12

Feb 26, 2026

Subway Entrance Old labels (test)

94.3AUC

11

Feb 26, 2026

Subway Entrance

61True Positives

11

Feb 26, 2026

Subway Exit Old labels (test)

Ionescu et al. [7]

95.1AUC

9

Feb 26, 2026

94.3Frame AUC (Entrance gate)

7

Feb 26, 2026

Subway Entrance gate

80Frame AUC

5

Feb 26, 2026

Subway Entrance New labels (test)

Background-Agnostic Framework

92.2AUC

3

Feb 26, 2026

Subway Exit New labels (test)

Background-Agnostic Framework

93.7AUC

3

Feb 26, 2026

CUHK Avenue Old and New

45Correct Detection

3

Feb 26, 2026

91.1Frame AUC

2

Feb 26, 2026

Popular datasets

UCSD Ped Subway Entrance Subway Exit Avenue UCSD Ped2

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