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 701–725 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection	Apr 16, 2025	Anomaly DetectionLarge Language Model	CodeCode Available	1	5
Deep Learning in Latent Space for Video Prediction and Compression	Jun 19, 2021	Anomaly DetectionDeep Learning	CodeCode Available	1	5
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection	Jul 2, 2024	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis	Feb 20, 2023	Anomaly DetectionDeep Reinforcement Learning	CodeCode Available	1	5
DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies	Mar 11, 2022	Anomaly DetectionInformation Retrieval	CodeCode Available	1	5
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention	Feb 14, 2023	Anomaly Detection	CodeCode Available	1	5
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment	Aug 17, 2024	Anomaly DetectionEEG	CodeCode Available	1	5
Deep Sets	Mar 10, 2017	Anomaly DetectionOutlier Detection	CodeCode Available	1	5
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs	May 9, 2022	AnatomyAnomaly Detection	CodeCode Available	1	5
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic	Aug 26, 2020	Action RecognitionAnomaly Detection	CodeCode Available	1	5
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays	Jun 25, 2022	AnatomyAnomaly Detection	CodeCode Available	1	5
Anomaly Detection in Emails using Machine Learning and Header Information	Mar 19, 2022	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	1	5
ADGym: Design Choices for Deep Anomaly Detection	Sep 27, 2023	Anomaly DetectionCloud Computing	CodeCode Available	1	5
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision	Jul 28, 2020	Anomaly Detection	CodeCode Available	1	5
Delving into CLIP latent space for Video Anomaly Recognition	Oct 4, 2023	Anomaly DetectionMultiple Instance Learning	CodeCode Available	1	5
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition	Jul 6, 2022	Anomaly DetectionOpen Set Learning	CodeCode Available	1	5
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis	Sep 20, 2024	Anomaly DetectionFault Diagnosis	CodeCode Available	1	5
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics	May 25, 2023	Anomaly DetectionFraud Detection	CodeCode Available	1	5
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs	Dec 7, 2023	AnatomyAnomaly Detection	CodeCode Available	1	5
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection	Mar 28, 2023	Anomaly DetectionAnomaly Localization	CodeCode Available	1	5
Detecting Anomalies within Time Series using Local Neural Transformations	Feb 8, 2022	Anomaly DetectionEpidemiology	CodeCode Available	1	5
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation	Dec 13, 2020	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1	5
An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots	Sep 20, 2022	Anomaly Detection	CodeCode Available	1	5
A General Framework For Detecting Anomalous Inputs to DNN Classifiers	Jul 29, 2020	Anomaly Detectionimage-classification	CodeCode Available	1	5
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction	Aug 16, 2021	Anomaly DetectionOptical Flow Estimation	CodeCode Available	1	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