Anomaly Detection on ShanghaiTech

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AUC

Rank	Model	AUC	RBDC	TBDC	Extra Training Data	Paper	Code	Year
1	PA-VAD 자동 추출	98.2	–	–		PA-VAD: Diffusion-Based Pseudo-Only Video Anomaly Detection via Domain-Aligned Memory Updates		2025
2	DAC(STG-NF + Jigsaw)	87.72%	–	–		Divide and Conquer in Video Anomaly Detection: A Comprehensive Review and New Approach	XiaoJian923/Divide-and-Conquer	2023
3	MULDE-object-centric-micro	86.7%	–	–		MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection	jakubmicorek/MULDE-Multiscale-Log-Density-Estimation-via-Denoising-Score-Matching-for-Video-Anomaly-Detection	2024
4	AI-VAD	85.94%	–	–		An Attribute-based Method for Video Anomaly Detection	openvinotoolkit/anomalib · talreiss/Mean-Shifted-Anomaly-Detection · talreiss/accurate-interpretable-vad · +1	2022
5	STG-NF	85.9%	–	–		Normalizing Flows for Human Pose Anomaly Detection	orhir/stg-nf	2022
6	AnomalyRuler	85.2%	–	–		Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models	Yuchen413/AnomalyRuler	2024
7	VideoPatchCore	85.1%	–	–		VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection	SkiddieAhn/Paper-VideoPatchCore	2024
8	Jigsaw-VAD	84.3%	–	–		Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles	gdwang08/jigsaw-vad	2022
9	SSMTL++v2	83.8%	47.10	85.60	✓	SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection		2022
10	SSMTL+UBnormal	83.7%	47.15	86.15	✓	UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection	lilygeorgescu/ubnormal	2021
10	two-stream	83.7%	–	–		Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection	zugexiaodui/twostreamuvad	2022
12	SSMTL+++SSMCTB	83.6%	47.73	85.65	✓	Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection	ristea/ssmctb	2022
12	Background- Agnostic Framework+SSPCAB	83.6%	–	–	✓	Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection	openvinotoolkit/anomalib · ristea/sspcab · wasve/DRAEM-SSPCAB · +1	2021
14	MoPRL	83.35	–	–		Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection	Yui010206/MoPRL	2021
15	SSMTL++v1	82.9%	43.2	84.1	✓	SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection		2022
16	Background-Agnostic Framework	82.7%	–	–	✓	A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video	m-3lab/awesome-visual-sensory-anomaly-detection · lilygeorgescu/AED	2020
17	SSMTL	82.4%	–	–	✓	Anomaly Detection in Video via Self-Supervised and Multi-Task Learning	lilygeorgescu/AED-SSMTL	2020
18	MULDE-frame-centric-micro	81.3%	–	–		MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection	jakubmicorek/MULDE-Multiscale-Log-Density-Estimation-via-Denoising-Score-Matching-for-Video-Anomaly-Detection	2024
19	TSGAD	80.6%	–	–		An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction	tecsar-uncc/tsgad	2024
20	DMAD	78.8%	–	–		Diversity-Measurable Anomaly Detection	FlappyPeggy/DMAD	2023
21	Object-centric AE	78.7%	–	–		Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video	fjchange/object_centric_VAD	2018
22	STPT	77.1%	51.6	84.6		Spatio-temporal predictive tasks for abnormal event detection in videos		2022
23	EVAL	76.63%	59.21	89.44		EVAL: Explainable Video Anomaly Localization		2022
24	MAMA	76.5%	–	–		Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer	SkiddieAhn/Paper-Making-Anomalies-More-Anomalous	2024
25	STAN	76.2%	–	–		STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection		2018
26	Multi-timescale Prediction	76.03%	–	–		Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection		2019
27	ASTNet	73.6	–	–		Attention-based residual autoencoder for video anomaly detection	vt-le/astnet	2022
28	MPED-RNN	73.40%	–	–		Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos	RomeroBarata/skeleton_based_anomaly_detection	2019
29	Any-Shot Sequential	71.6%	–	–		Any-Shot Sequential Anomaly Detection in Surveillance Videos		2020
30	Sparse Coding Stacked RNN	68.0%	–	–		A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework	StevenLiuWen/sRNN_TSC_Anomaly_Detection	2017
31	PGM	61.28%	45.40	81.87		Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified	milestonesys-research/vad-with-pgms	2024
32	HF2VAD+SSPCAB	–	45.45	84.50		Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection	openvinotoolkit/anomalib · ristea/sspcab · wasve/DRAEM-SSPCAB · +1	2021