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 1376–1400 of 4856 papers

Title	Date	Tasks	Status	Score
fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library	Jun 10, 2024	Anomaly DetectionCPU	CodeCode Available	5
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection	Jun 21, 2024	Anomaly DetectionEvent Detection	CodeCode Available	5
GADformer: A Transparent Transformer Model for Group Anomaly Detection on Trajectories	Mar 17, 2023	Anomaly DetectionGroup Anomaly Detection	CodeCode Available	5
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	5
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations	Mar 15, 2024	Anomaly DetectionDecoder	CodeCode Available	5
FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation	Jan 30, 2023	Anomaly DetectionKnowledge Distillation	CodeCode Available	5
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms	Feb 25, 2025	Anomaly Detection	CodeCode Available	5
Composite Convolution: a Flexible Operator for Deep Learning on 3D Point Clouds	Sep 23, 2022	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection	Aug 6, 2024	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	5
Foundation Models for Structural Health Monitoring	Apr 3, 2024	Anomaly DetectionKnowledge Distillation	CodeCode Available	5
From Zero to Hero: Cold-Start Anomaly Detection	May 30, 2024	Anomaly DetectionCold-Start Anomaly Detection	CodeCode Available	5
Finite sample guarantees for quantile estimation: An application to detector threshold tuning	May 25, 2021	Anomaly Detection	CodeCode Available	5
Dimensionless Anomaly Detection on Multivariate Streams with Variance Norm and Path Signature	Jun 5, 2020	Anomaly DetectionTime Series	CodeCode Available	5
Comparison of Anomaly Detectors: Context Matters	Dec 11, 2020	Anomaly DetectionModel Selection	CodeCode Available	5
Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural Networks	Sep 22, 2022	Anomaly DetectionImputation	CodeCode Available	5
Few-shot Online Anomaly Detection and Segmentation	Mar 27, 2024	Anomaly Detection	CodeCode Available	5
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification	Feb 8, 2022	Anomaly DetectionBenchmarking	CodeCode Available	5
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series	Aug 5, 2024	Anomaly DetectionAstronomy	CodeCode Available	5
Fence GAN: Towards Better Anomaly Detection	Apr 2, 2019	Anomaly ClassificationAnomaly Detection	CodeCode Available	5
Focus or Not: A Baseline for Anomaly Event Detection On the Open Public Places with Satellite Images	Mar 21, 2023	Anomaly DetectionChange Detection	CodeCode Available	5
Combining Machine Learning Models using combo Library	Sep 21, 2019	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	5
AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning	May 6, 2025	Active LearningAnomaly Detection	CodeCode Available	5
Learning Networks from Random Walk-Based Node Similarities	Jan 23, 2018	Anomaly DetectionClustering	CodeCode Available	5
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization	Oct 16, 2024	Anomaly DetectionFederated Learning	CodeCode Available	5
CoMadOut -- A Robust Outlier Detection Algorithm based on CoMAD	Nov 23, 2022	Anomaly DetectionOutlier Detection	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