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 1031–1040 of 4856 papers

Title	Date	Tasks	Status	Score
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain	Jun 12, 2025	Anomaly Detection	CodeCode Available	5
Interruptions detection in video conferences	Feb 25, 2023	Anomaly Detection	CodeCode Available	5
A Three-Stage Anomaly Detection Framework for Traffic Videos	Jun 5, 2022	Anomaly Detection	CodeCode Available	5
Introduction to Rare-Event Predictive Modeling for Inferential Statisticians -- A Hands-On Application in the Prediction of Breakthrough Patents	Mar 30, 2020	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	5
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection	Oct 11, 2024	Anomaly DetectionTime Series	CodeCode Available	5
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models	Jun 30, 2022	Anomaly Detection	CodeCode Available	5
ATD: Anomalous Topic Discovery in High Dimensional Discrete Data	Dec 20, 2015	Anomaly DetectionTopic Models	CodeCode Available	5
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting	Mar 31, 2025	Anomaly DetectionMultivariate Time Series Forecasting	CodeCode Available	5
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping	Dec 5, 2023	Anomaly Detection	CodeCode Available	5
Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection	Aug 5, 2021	Anomaly DetectionData Augmentation	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