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 1301–1325 of 4856 papers

Title	Date	Tasks	Status	Score
Addressing the Impact of Localized Training Data in Graph Neural Networks	Jul 24, 2023	Anomaly DetectionGraph Generation	CodeCode Available	5
gen2Out: Detecting and Ranking Generalized Anomalies	Sep 6, 2021	Anomaly DetectionEEG	CodeCode Available	5
Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses	Sep 17, 2023	Anomaly DetectionTime Series	CodeCode Available	5
GANetic Loss for Generative Adversarial Networks with a Focus on Medical Applications	Jun 7, 2024	Anomaly DetectionImage Generation	CodeCode Available	5
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training	May 17, 2018	Anomaly DetectionDecoder	CodeCode Available	5
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection	Jan 30, 2025	Anomaly DetectionTime Series	CodeCode Available	5
GADformer: A Transparent Transformer Model for Group Anomaly Detection on Trajectories	Mar 17, 2023	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
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
A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views	Jul 2, 2023	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	5
Consistency-based anomaly detection with adaptive multiple-hypotheses predictions	May 1, 2019	Anomaly DetectionDiversity	CodeCode Available	5
Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly Detection	Apr 5, 2024	Anomaly DetectionDictionary Learning	CodeCode Available	5
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms	Feb 25, 2025	Anomaly Detection	CodeCode Available	5
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection	Feb 4, 2023	Anomaly DetectionMedical Diagnosis	CodeCode Available	5
From Zero to Hero: Cold-Start Anomaly Detection	May 30, 2024	Anomaly DetectionCold-Start Anomaly Detection	CodeCode Available	5
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations	Mar 15, 2024	Anomaly DetectionDecoder	CodeCode Available	5
Anomaly Detection via Self-organizing Map	Jul 21, 2021	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
High-dimensional and Permutation Invariant Anomaly Detection	Jun 6, 2023	Anomaly DetectionDensity Estimation	CodeCode Available	5
fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library	Jun 10, 2024	Anomaly DetectionCPU	CodeCode Available	5
Addressing Out-of-Label Hazard Detection in Dashcam Videos: Insights from the COOOL Challenge	Jan 27, 2025	Anomaly DetectionAutonomous Driving	CodeCode Available	5
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks	Apr 16, 2021	Anomaly DetectionSelf-Supervised Anomaly Detection	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
Confidence-Aware and Self-Supervised Image Anomaly Localisation	Mar 23, 2023	Anomaly DetectionMedical Image Analysis	CodeCode Available	5
Anomaly Detection using Autoencoders in High Performance Computing Systems	Nov 13, 2018	Anomaly DetectionVocal Bursts Intensity Prediction	CodeCode Available	5
Foundation Models for Structural Health Monitoring	Apr 3, 2024	Anomaly DetectionKnowledge Distillation	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