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 4376–4400 of 4856 papers

Title	Date	Tasks	Status
Unsupervised Contextual Anomaly Detection using Joint Deep Variational Generative Models	Apr 1, 2019	Anomaly DetectionContextual Anomaly Detection	—Unverified
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection	Mar 30, 2019	Anomaly DetectionDecoder	CodeCode Available
Autoencoding Binary Classifiers for Supervised Anomaly Detection	Mar 26, 2019	Anomaly DetectionSupervised Anomaly Detection	—Unverified
Spatially-weighted Anomaly Detection with Regression Model	Mar 23, 2019	Anomaly Detectionmodel	—Unverified
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations	Mar 20, 2019	Anomaly DetectionDenoising	—Unverified
Ensemble Clustering for Graphs: Comparisons and Applications	Mar 19, 2019	Anomaly DetectionClustering	CodeCode Available
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection	Mar 18, 2019	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available
Learning Competitive and Discriminative Reconstructions for Anomaly Detection	Mar 17, 2019	Anomaly Detection	—Unverified
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection	Mar 15, 2019	Anomaly Detection	CodeCode Available
Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning	Mar 15, 2019	Anomaly DetectionBIG-bench Machine Learning	—Unverified
ADS-ME: Anomaly Detection System for Micro-expression Spotting	Mar 11, 2019	Anomaly DetectionMicro-Expression Spotting	—Unverified
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos	Mar 8, 2019	Anomaly DetectionDecoder	CodeCode Available
Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning	Mar 6, 2019	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available
adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection	Mar 3, 2019	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available
Deep Generative Design: Integration of Topology Optimization and Generative Models	Mar 1, 2019	Anomaly DetectionDeep Learning	—Unverified
Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders	Feb 28, 2019	Anomaly DetectionDenoising	—Unverified
Towards Corner Case Detection for Autonomous Driving	Feb 25, 2019	Anomaly DetectionAutonomous Driving	—Unverified
Anomaly Detection for an E-commerce Pricing System	Feb 25, 2019	Anomaly DetectionModel Selection	—Unverified
Bayesian Anomaly Detection and Classification	Feb 22, 2019	Anomaly DetectionClassification	—Unverified
Real-time PCG Anomaly Detection by Adaptive 1D Convolutional Neural Networks	Feb 19, 2019	Anomaly DetectionDiagnostic	—Unverified
Anomaly Detection with Adversarial Dual Autoencoders	Feb 19, 2019	Anomaly DetectionImage Generation	CodeCode Available
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection	Feb 18, 2019	Anomaly DetectionChange Point Detection	—Unverified
Twitch Plays Pokemon, Machine Learns Twitch: Unsupervised Context-Aware Anomaly Detection for Identifying Trolls in Streaming Data	Feb 17, 2019	Anomaly DetectionClustering	CodeCode Available
Street Scene: A new dataset and evaluation protocol for video anomaly detection	Feb 15, 2019	Anomaly DetectionVideo Anomaly Detection	—Unverified
KINN: Incorporating Expert Knowledge in Neural Networks	Feb 15, 2019	Anomaly DetectionManagement	—Unverified

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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