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 4651–4675 of 4856 papers

Title	Date	Tasks	Status
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset	Feb 2, 2021	Anomaly Detection	CodeCode Available
Partial Channel Dependence with Channel Masks for Time Series Foundation Models	Oct 30, 2024	Anomaly DetectionImputation	CodeCode Available
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance	Nov 24, 2021	Anomaly DetectionGraph Neural Network	CodeCode Available
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening	May 20, 2025	Anomaly DetectionGraph Anomaly Detection	CodeCode Available
PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time Series	Dec 9, 2024	Anomaly DetectionNeural Architecture Search	CodeCode Available
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge	Oct 15, 2024	Anomaly Detection	CodeCode Available
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring	Jul 9, 2024	Anomaly DetectionDefect Detection	CodeCode Available
Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery	Apr 10, 2025	Anomaly Detection	CodeCode Available
Explainable Debugger for Black-box Machine Learning Models	Jul 18, 2021	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available
Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph	Aug 5, 2023	Anomaly DetectionFraud Detection	CodeCode Available
Explainable Anomaly Detection for Industrial Control System Cybersecurity	May 4, 2022	Anomaly DetectionExplainable artificial intelligence	CodeCode Available
Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability	Aug 1, 2024	Anomaly DetectionGraph Anomaly Detection	CodeCode Available
Experiment-based detection of service disruption attacks in optical networks using data analytics and unsupervised learning	Feb 1, 2019	Anomaly DetectionClustering	CodeCode Available
Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal Users	Dec 27, 2020	Anomaly Detection	CodeCode Available
Anomaly detection in the dynamics of web and social networks	Jan 22, 2019	Anomaly DetectionTime Series	CodeCode Available
Weakly Supervised Anomaly Detection for Chest X-Ray Image	Nov 16, 2023	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available
CPNet: Cross-Parallel Network for Efficient Anomaly Detection	Aug 10, 2021	Anomaly DetectionDecoder	CodeCode Available
Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection	Jan 25, 2016	Anomaly DetectionIncremental Learning	CodeCode Available
Tensor decomposition to Compress Convolutional Layers in Deep Learning	May 28, 2020	Anomaly DetectionDeep Learning	CodeCode Available
Enhancing Interpretability and Generalizability in Extended Isolation Forests	Oct 9, 2023	Anomaly DetectionFeature Importance	CodeCode Available
Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays	Oct 6, 2020	Anomaly Detection	CodeCode Available
TiSAT: Time Series Anomaly Transformer	Mar 10, 2022	Anomaly DetectionTime Series	CodeCode Available
TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios	Nov 30, 2021	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available
Shell Theory: A Statistical Model of Reality	May 28, 2021	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection	May 9, 2025	3D Anomaly Detection3D Anomaly Detection and Segmentation	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