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 3376–3400 of 4856 papers

Title	Date	Tasks	Status	Hype
Graph Sanitation with Application to Node Classification	May 19, 2021	Anomaly DetectionBilevel Optimization	—Unverified	0
Masked Contrastive Learning for Anomaly Detection	May 18, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
StackVAE-G: An efficient and interpretable model for time series anomaly detection	May 18, 2021	Anomaly DetectionGraph Learning	CodeCode Available	0
Vision Transformers are Robust Learners	May 17, 2021	Anomaly DetectionImage Classification	CodeCode Available	1
DOC3-Deep One Class Classification using Contradictions	May 17, 2021	Anomaly DetectionClassification	—Unverified	0
Understanding the Effect of Bias in Deep Anomaly Detection	May 16, 2021	Anomaly Detection	CodeCode Available	0
Theoretical Concept Study of Cooperative Abnormality Detection and Localization in Fluidic-Medium Molecular Communication	May 16, 2021	Anomaly Detection	—Unverified	0
Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection	May 14, 2021	Anomaly Detectionvalid	CodeCode Available	0
DoS and DDoS Mitigation Using Variational Autoencoders	May 14, 2021	Anomaly Detection	—Unverified	0
Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection	May 14, 2021	Anomaly Detection	—Unverified	0
Cybersecurity Anomaly Detection in Adversarial Environments	May 14, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing	May 12, 2021	Anomaly DetectionDecision Making	—Unverified	0
Anomaly Detection via Controlled Sensing and Deep Active Inference	May 12, 2021	Anomaly DetectionDecision Making	—Unverified	0
Real-Time Anomaly Detection and Feature Analysis Based on Time Series for Surveillance Video	May 11, 2021	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1
Video Anomaly Detection By The Duality Of Normality-Granted Optical Flow	May 10, 2021	Anomaly DetectionOptical Flow Estimation	—Unverified	0
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the capitals of Brazil	May 10, 2021	Anomaly Detection	—Unverified	0
Unsupervised Offline Changepoint Detection Ensembles	May 9, 2021	Anomaly DetectionChange Point Detection	CodeCode Available	1
Good Practices and A Strong Baseline for Traffic Anomaly Detection	May 9, 2021	Anomaly DetectionManagement	CodeCode Available	0
Energy-Based Anomaly Detection and Localization	May 7, 2021	Anomaly Detection	—Unverified	0
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning	May 5, 2021	Adversarial AttackAnomaly Detection	CodeCode Available	0
An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs	May 4, 2021	Action RecognitionAnomaly Detection	—Unverified	0
Unsupervised Anomaly Detection in MR Images using Multi-Contrast Information	May 2, 2021	Anomaly DetectionDensity Estimation	—Unverified	0
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection	Apr 30, 2021	Anomaly DetectionClustering	—Unverified	0
DRAM Failure Prediction in AIOps: Empirical Evaluation, Challenges and Opportunities	Apr 30, 2021	Anomaly DetectionMulti-class Classification	—Unverified	0
Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings	Apr 30, 2021	Anomaly DetectionOptical Flow Estimation	—Unverified	0

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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