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 926–950 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
Inter-Realization Channels: Unsupervised Anomaly Detection Beyond One-Class Classification	Jan 1, 2023	Anomaly DetectionOne-Class Classification	CodeCode Available	1	5
Localizing Anomalies via Multiscale Score Matching Analysis	Jun 28, 2024	Anomaly DetectionAnomaly Localization	CodeCode Available	0	5
Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol	Jun 30, 2021	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	0	5
Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection	Aug 5, 2021	Anomaly DetectionData Augmentation	CodeCode Available	0	5
Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification	May 21, 2018	Anomaly DetectionClassification	CodeCode Available	0	5
Local2Global: A distributed approach for scaling representation learning on graphs	Jan 12, 2022	Anomaly DetectionGraph Representation Learning	CodeCode Available	0	5
Link Analysis meets Ontologies: Are Embeddings the Answer?	Nov 23, 2021	Anomaly Detection	CodeCode Available	0	5
Lightweight Collaborative Anomaly Detection for the IoT using Blockchain	Jun 18, 2020	Anomaly Detection	CodeCode Available	0	5
LIME: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks	Feb 11, 2021	Anomaly DetectionFraud Detection	CodeCode Available	0	5
Localizing Anomalies in Critical Infrastructure using Model-Based Drift Explanations	Oct 24, 2023	Anomaly Detection	CodeCode Available	0	5
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection	Jul 17, 2024	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	0	5
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach	Nov 13, 2023	Anomaly DetectionGraph Neural Network	CodeCode Available	0	5
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights	Mar 14, 2023	Anomaly DetectionContinual Learning	CodeCode Available	0	5
Less-supervised learning with knowledge distillation for sperm morphology analysis	May 8, 2024	Anomaly DetectionKnowledge Distillation	CodeCode Available	0	5
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection	Mar 2, 2024	Anomaly DetectionMultiple Instance Learning	CodeCode Available	0	5
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks	Feb 3, 2023	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	0	5
Leveraging Log Instructions in Log-based Anomaly Detection	Jul 7, 2022	Anomaly DetectionCPU	CodeCode Available	0	5
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation	Nov 28, 2022	Anomaly DetectionKnowledge Distillation	CodeCode Available	0	5
Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder	Jun 11, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	0	5
Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks	Nov 12, 2019	Anomaly DetectionTime Series	CodeCode Available	0	5
Learning Representations for Time Series Clustering	Dec 1, 2019	Anomaly DetectionClustering	CodeCode Available	0	5
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection	Jun 13, 2018	Anomaly DetectionDisease Prediction	CodeCode Available	0	5
Learning Temporal Regularity in Video Sequences	Apr 15, 2016	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	0	5
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection	Jun 6, 2023	Anomaly DetectionOut-of-Distribution Detection	CodeCode Available	0	5
Anomaly Detection for Hybrid Butterfly Subspecies via Probability Filtering	Apr 2, 2025	Anomaly Detection	CodeCode Available	0	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