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

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Showing 4801–4825 of 4856 papers

Title	Date	Tasks	Status
Puzzle-AE: Novelty Detection in Images through Solving Puzzles	Aug 29, 2020	Anomaly DetectionNovelty Detection	CodeCode Available
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis	Jul 22, 2024	Anomaly DetectionObject	CodeCode Available
A clustering approach to time series forecasting using neural networks: A comparative study on distance-based vs. feature-based clustering methods	Jan 27, 2020	Anomaly DetectionClustering	CodeCode Available
Eloss in the way: A Sensitive Input Quality Metrics for Intelligent Driving	Feb 2, 2023	3D Object DetectionAnomaly Detection	CodeCode Available
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach	Apr 15, 2024	Anomaly DetectionGraph Anomaly Detection	CodeCode Available
Towards Phytoplankton Parasite Detection Using Autoencoders	Mar 15, 2023	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation	Apr 12, 2021	Anomaly DetectionCardiac Segmentation	CodeCode Available
Efficient GAN-Based Anomaly Detection	Feb 17, 2018	Anomaly Detection	CodeCode Available
Pyramid-based Mamba Multi-class Unsupervised Anomaly Detection	Apr 4, 2025	Anomaly DetectionAnomaly Localization	CodeCode Available
Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks	Nov 12, 2019	Anomaly DetectionTime Series	CodeCode Available
Effect of Deep Transfer and Multi task Learning on Sperm Abnormality Detection	Nov 21, 2021	Anomaly DetectionMulti-Task Learning	CodeCode Available
PyScrew: A Comprehensive Dataset Collection from Industrial Screw Driving Experiments	May 17, 2025	Anomaly DetectionFriction	CodeCode Available
AIDA: Analytic Isolation and Distance-based Anomaly Detection Algorithm	Dec 5, 2022	Anomaly Detection	CodeCode Available
VisionAD, a software package of performant anomaly detection algorithms, and Proportion Localised, an interpretable metric	Jun 7, 2024	Anomaly DetectionBenchmarking	CodeCode Available
Effective and Efficient Representation Learning for Flight Trajectories	Dec 21, 2024	Anomaly DetectionRepresentation Learning	CodeCode Available
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI	Nov 28, 2022	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains	Mar 29, 2025	Anomaly DetectionBenchmarking	CodeCode Available
Associative Knowledge Graphs for Efficient Sequence Storage and Retrieval	Nov 19, 2024	Anomaly DetectionKnowledge Graphs	CodeCode Available
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection	Dec 13, 2021	Anomaly DetectionAttribute	CodeCode Available
Addressing Out-of-Label Hazard Detection in Dashcam Videos: Insights from the COOOL Challenge	Jan 27, 2025	Anomaly DetectionAutonomous Driving	CodeCode Available
XAI-based Feature Ensemble for Enhanced Anomaly Detection in Autonomous Driving Systems	Oct 20, 2024	Anomaly DetectionAutonomous Driving	CodeCode Available
QCBA: Improving Rule Classifiers Learned from Quantitative Data by Recovering Information Lost by Discretisation	Nov 28, 2017	Anomaly DetectionClassification	CodeCode Available
Spatio-Temporal Data Mining: A Survey of Problems and Methods	Nov 13, 2017	Anomaly DetectionChange Detection	CodeCode Available
Early-Stage Anomaly Detection: A Study of Model Performance on Complete vs. Partial Flows	Jul 3, 2024	Anomaly Detection	CodeCode Available
Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes	Oct 22, 2020	Anomaly DetectionTime Series	CodeCode Available

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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