Anomaly Detection

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 851–875 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection	Nov 6, 2023	Anomaly DetectionGenerative Adversarial Network	CodeCode Available	1	5
Graph Contrastive Learning for Anomaly Detection	Aug 17, 2021	Anomaly DetectionBinary Classification	CodeCode Available	1	5
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis	Oct 18, 2022	Anomaly DetectionData Augmentation	CodeCode Available	1	5
The 5th AI City Challenge	Apr 25, 2021	Anomaly DetectionComputational Efficiency	CodeCode Available	1	5
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges	Oct 26, 2021	Anomaly DetectionNovelty Detection	CodeCode Available	1	5
Auto-Encoding Variational Bayes	Dec 20, 2013	Anomaly DetectionImage Clustering	CodeCode Available	1	5
Generalized Out-of-Distribution Detection: A Survey	Oct 21, 2021	Anomaly DetectionAutonomous Driving	CodeCode Available	1	5
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models	Feb 10, 2023	Anomaly DetectionEvent Detection	CodeCode Available	1	5
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection	Aug 23, 2021	Anomaly DetectionAttribute	CodeCode Available	1	5
The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection	Mar 27, 2025	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1	5
Learning and Evaluating Representations for Deep One-class Classification	Nov 4, 2020	Anomaly DetectionClassification	CodeCode Available	1	5
Generator Versus Segmentor: Pseudo-healthy Synthesis	Sep 12, 2020	Anomaly DetectionGenerative Adversarial Network	CodeCode Available	1	5
Adversarially Learned Anomaly Detection	Dec 6, 2018	Anomaly Detection	CodeCode Available	1	5
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection	Mar 14, 2024	Anomaly DetectionGraph structure learning	CodeCode Available	1	5
Attention-based residual autoencoder for video anomaly detection	May 25, 2022	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1	5
A Survey of Visual Sensory Anomaly Detection	Feb 14, 2022	Anomaly DetectionSurvey	CodeCode Available	1	5
A Survey of World Models for Autonomous Driving	Jan 20, 2025	Anomaly DetectionAutonomous Driving	CodeCode Available	1	5
Graph Anomaly Detection with Unsupervised GNNs	Oct 18, 2022	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1	5
Laplacian Change Point Detection for Dynamic Graphs	Jul 2, 2020	Anomaly DetectionChange Point Detection	CodeCode Available	1	5
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection	Dec 23, 2024	Anomaly DetectionPrompt Learning	CodeCode Available	1	5
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study	Nov 5, 2023	Anomaly Detection	CodeCode Available	1	5
Label-Free Multivariate Time Series Anomaly Detection	Dec 17, 2023	Anomaly DetectionDensity Estimation	CodeCode Available	1	5
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs	Feb 2, 2023	Anomaly DetectionChange Point Detection	CodeCode Available	1	5
Time-Series Anomaly Detection Service at Microsoft	Jun 10, 2019	Anomaly DetectionSaliency Detection	CodeCode Available	1	5
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection	Oct 14, 2022	3D Anomaly DetectionAnomaly Detection	CodeCode Available	1	5

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All datasets MVTec AD VisA MVTec LOCO AD One-class CIFAR-10 CUHK Avenue ShanghaiTech Fishyscapes L&F UCR Anomaly Archive MPDD BTAD One-class CIFAR-100 UBnormal

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CPR-faster(TensorRT)	FPS	1,016	—	Unverified
2	CPR-fast(TensorRT)	FPS	362	—	Unverified
3	CPR(TensorRT)	FPS	130	—	Unverified
4	GLASS	Detection AUROC	99.9	—	Unverified
5	UniNet	Detection AUROC	99.9	—	Unverified
6	HETMM	Detection AUROC	99.8	—	Unverified
7	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	PBAS	Detection AUROC	99.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniNet	Detection AUROC	99.8	—	Unverified
2	GLAD	Detection AUROC	99.5	—	Unverified
3	UniNet(model-unified multi-class)	Detection AUROC	99.15	—	Unverified
4	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	DDAD	Detection AUROC	98.9	—	Unverified
6	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
7	DiffusionAD	Detection AUROC	98.8	—	Unverified
8	GLASS	Detection AUROC	98.8	—	Unverified
9	TransFusion	Detection AUROC	98.7	—	Unverified
10	HETMM	Detection AUROC	98.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CSAD	Avg. Detection AUROC	95.3	—	Unverified
2	PSAD	Avg. Detection AUROC	94.9	—	Unverified