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 2826–2850 of 4856 papers

Title	Date	Tasks	Status	Hype
Scalable Motif Counting for Large-scale Temporal Graphs	Apr 20, 2022	Anomaly DetectionCPU	CodeCode Available	0
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems	Apr 20, 2022	Anomaly Detectionimage-classification	—Unverified	0
Sintel: A Machine Learning Framework to Extract Insights from Signals	Apr 19, 2022	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	3
"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection	Apr 19, 2022	Anomaly DetectionMulti-class Classification	—Unverified	0
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors	Apr 18, 2022	Anomaly DetectionTime Series	—Unverified	0
AI for human assessment: What do professional assessors need?	Apr 18, 2022	Anomaly DetectionDecision Making	—Unverified	0
AFSC: Adaptive Fourier Space Compression for Anomaly Detection	Apr 17, 2022	Anomaly DetectionData Augmentation	—Unverified	0
Anomalous Sound Detection Based on Machine Activity Detection	Apr 15, 2022	Action DetectionActivity Detection	—Unverified	0
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data	Apr 14, 2022	Anomaly DetectionTime Series	CodeCode Available	1
Self-Supervised Losses for One-Class Textual Anomaly Detection	Apr 12, 2022	Anomaly Detection	—Unverified	0
Unsupervised Anomaly and Change Detection with Multivariate Gaussianization	Apr 12, 2022	Anomaly DetectionChange Detection	—Unverified	0
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with impured training data	Apr 12, 2022	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0
EPASAD: Ellipsoid decision boundary based Process-Aware Stealthy Attack Detector	Apr 8, 2022	Anomaly DetectionIntrusion Detection	—Unverified	0
A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency	Apr 8, 2022	Anomaly DetectionOptical Flow Estimation	—Unverified	0
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems	Apr 7, 2022	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks	Apr 6, 2022	Anomaly DetectionFederated Learning	—Unverified	0
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection	Apr 5, 2022	Anomaly DetectionDensity Estimation	—Unverified	0
A Survey on Graph Representation Learning Methods	Apr 4, 2022	Anomaly DetectionGraph Embedding	—Unverified	0
Distributed Anomaly Detection and Estimation over Sensor Networks: Observational-Equivalence and Q-Redundant Observer Design	Apr 4, 2022	Anomaly Detection	—Unverified	0
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?	Apr 4, 2022	Anomaly DetectionArticles	—Unverified	0
SAM-kNN Regressor for Online Learning in Water Distribution Networks	Apr 4, 2022	Anomaly Detection	CodeCode Available	0
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion	Apr 3, 2022	Anomaly DetectionRobot Navigation	CodeCode Available	1
Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection	Apr 2, 2022	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	0
LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in Commercial Buildings	Mar 30, 2022	Anomaly DetectionTime Series	CodeCode Available	1
IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset	Mar 30, 2022	Anomaly Detectionfeature selection	—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	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
7	DDAD	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	PBAS	Detection AUROC	99.8	—	Unverified
10	HETMM	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	DDAD	Detection AUROC	98.9	—	Unverified
5	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	INP-Former ViT-B (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