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 1151–1175 of 4856 papers

Title	Date	Tasks	Status	Score
Human Kinematics-inspired Skeleton-based Video Anomaly Detection	Sep 27, 2023	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	5
Hybrid Deep Network for Anomaly Detection	Aug 17, 2019	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	5
Approaches Toward Physical and General Video Anomaly Detection	Dec 14, 2021	Anomaly DetectionDensity Estimation	CodeCode Available	5
HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection Dataset	Apr 17, 2025	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems	Aug 26, 2020	Anomaly DetectionC++ code	CodeCode Available	5
How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection	Jan 7, 2023	Active LearningAnomaly Detection	CodeCode Available	5
How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?	Jul 5, 2016	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	5
Hybrid Isolation Forest - Application to Intrusion Detection	May 10, 2017	Anomaly DetectionComputational Efficiency	CodeCode Available	5
IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study	Apr 30, 2024	Anomaly DetectionAnomaly Segmentation	CodeCode Available	5
Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization	May 10, 2019	Anomaly DetectionRetrieval	CodeCode Available	5
Partial Channel Dependence with Channel Masks for Time Series Foundation Models	Oct 30, 2024	Anomaly DetectionImputation	CodeCode Available	5
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection	Jul 24, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	5
Heartbeat Anomaly Detection using Adversarial Oversampling	Jan 28, 2019	Anomaly DetectionDiagnostic	CodeCode Available	5
Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection	Apr 2, 2022	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
High-dimensional and Permutation Invariant Anomaly Detection	Jun 6, 2023	Anomaly DetectionDensity Estimation	CodeCode Available	5
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks	May 17, 2024	Anomaly DetectionData Augmentation	CodeCode Available	5
Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies	Aug 2, 2023	Anomaly DetectionImage Segmentation	CodeCode Available	5
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes	Oct 7, 2019	Anomaly DetectionDemand Forecasting	CodeCode Available	5
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection	Nov 4, 2024	Anomaly DetectionAttribute	CodeCode Available	5
Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos	May 30, 2022	Anomaly DetectionDeep Learning	CodeCode Available	5
Hashing for Structure-based Anomaly Detection	May 16, 2025	Anomaly Detection	CodeCode Available	5
Group Anomaly Detection using Deep Generative Models	Apr 13, 2018	Anomaly DetectionGroup Anomaly Detection	CodeCode Available	5
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data	Jun 27, 2024	Anomaly Detection	CodeCode Available	5
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values	Jan 11, 2024	Anomaly DetectionMissing Values	CodeCode Available	5
A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor	Dec 22, 2024	Anomaly DetectionQuantum Machine Learning	CodeCode Available	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