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 4401–4425 of 4856 papers

Title	Date	Tasks	Status	Hype
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification	Jan 8, 2019	Anomaly DetectionClassification	CodeCode Available	0
PyOD: A Python Toolbox for Scalable Outlier Detection	Jan 6, 2019	Anomaly DetectionOutlier Detection	CodeCode Available	1
Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions	Jan 2, 2019	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Feedforward Neural Network for Time Series Anomaly Detection	Dec 20, 2018	Anomaly DetectionCPU	—Unverified	0
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process	Dec 20, 2018	Anomaly Detection	CodeCode Available	0
DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series	Dec 19, 2018	Anomaly DetectionTime Series	CodeCode Available	0
Correlated Anomaly Detection from Large Streaming Data	Dec 19, 2018	Anomaly DetectionEvent Detection	—Unverified	0
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE	Dec 18, 2018	Anomaly DetectionClassification	CodeCode Available	0
Anomaly Detection and Interpretation using Multimodal Autoencoder and Sparse Optimization	Dec 18, 2018	Anomaly Detection	—Unverified	0
Unsupervised Anomaly Detection in Energy Time Series Data Using Variational Recurrent Autoencoders with Attention	Dec 17, 2018	Anomaly DetectionDeep Attention	—Unverified	0
Mapper Comparison with Wasserstein Metrics	Dec 15, 2018	Anomaly DetectionOpen-Ended Question Answering	CodeCode Available	0
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection	Dec 14, 2018	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation	Dec 14, 2018	Anomaly DetectionDensity Estimation	—Unverified	0
Distributed Anomaly Detection using Autoencoder Neural Networks in WSN for IoT	Dec 12, 2018	Anomaly Detection	—Unverified	0
Real-Time Anomaly Detection With HMOF Feature	Dec 12, 2018	Anomaly DetectionClustering	—Unverified	0
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video	Dec 11, 2018	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	0
Anomaly Generation using Generative Adversarial Networks in Host Based Intrusion Detection	Dec 11, 2018	Anomaly DetectionIntrusion Detection	—Unverified	0
Deep Anomaly Detection with Outlier Exposure	Dec 11, 2018	Anomaly DetectionOut-of-Distribution Detection	CodeCode Available	1
Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks	Dec 7, 2018	Anomaly DetectionDiagnostic	—Unverified	0
Adversarially Learned Anomaly Detection	Dec 6, 2018	Anomaly Detection	CodeCode Available	1
Anomaly detection with Wasserstein GAN	Dec 6, 2018	Anomaly DetectionTime Series	—Unverified	0
Cyber Anomaly Detection Using Graph-node Role-dynamics	Dec 6, 2018	Anomaly DetectionIntrusion Detection	—Unverified	0
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series	Dec 5, 2018	Anomaly DetectionTime Series	CodeCode Available	0
LSCP: Locally Selective Combination in Parallel Outlier Ensembles	Dec 4, 2018	Anomaly DetectionOutlier Detection	CodeCode Available	0
Context Encoding Chest X-rays	Dec 3, 2018	Anomaly DetectionImage Inpainting	CodeCode Available	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