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 4576–4600 of 4856 papers

Title	Date	Tasks	Status
Efficient Anomaly Detection via Matrix Sketching	Apr 9, 2018	Anomaly Detection	—Unverified
Anomaly Detection for Industrial Big Data	Apr 9, 2018	Anomaly DetectionTime Series	—Unverified
Adaptive Cost-sensitive Online Classification	Apr 6, 2018	Anomaly DetectionClassification	—Unverified
Correlated discrete data generation using adversarial training	Apr 3, 2018	Anomaly DetectionImage Generation	—Unverified
Regional Priority Based Anomaly Detection using Autoencoders	Apr 2, 2018	Anomaly DetectionDecoder	—Unverified
Network Traffic Anomaly Detection Using Recurrent Neural Networks	Mar 28, 2018	Anomaly DetectionLanguage Modeling	CodeCode Available
CoDetect: Financial Fraud Detection With Anomaly Feature Detection	Mar 26, 2018	Anomaly DetectionFraud Detection	—Unverified
A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents	Mar 17, 2018	Anomaly Detection	—Unverified
Deep Predictive Coding Neural Network for RF Anomaly Detection in Wireless Networks	Mar 16, 2018	Anomaly DetectionIntrusion Detection	—Unverified
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection	Mar 13, 2018	Anomaly DetectionDeep Learning	—Unverified
CIoTA: Collaborative IoT Anomaly Detection via Blockchain	Mar 10, 2018	Anomaly Detection	—Unverified
Precision and Recall for Time Series	Mar 8, 2018	Anomaly DetectionGeneral Classification	CodeCode Available
Arbitrary Discrete Sequence Anomaly Detection with Zero Boundary LSTM	Mar 6, 2018	Anomaly Detection	—Unverified
Abnormality Detection in Mammography using Deep Convolutional Neural Networks	Mar 5, 2018	Anomaly Detection	—Unverified
Analyzing Business Process Anomalies Using Autoencoders	Mar 3, 2018	Anomaly Detection	—Unverified
Graph Laplacian for Image Anomaly Detection	Feb 27, 2018	Anomaly Detection	CodeCode Available
Adversarially Learned One-Class Classifier for Novelty Detection	Feb 25, 2018	Anomaly DetectionNovelty Detection	CodeCode Available
BRUNO: A Deep Recurrent Model for Exchangeable Data	Feb 21, 2018	Anomaly DetectionBayesian Inference	CodeCode Available
Anomaly Detection using One-Class Neural Networks	Feb 18, 2018	Anomaly Detection	CodeCode Available
Efficient GAN-Based Anomaly Detection	Feb 17, 2018	Anomaly Detection	CodeCode Available
Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models	Feb 9, 2018	Anomaly DetectionGeneral Classification	—Unverified
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection	Feb 8, 2018	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification	Feb 7, 2018	Anomaly DetectionBenchmarking	—Unverified
Representation Learning for Resource Usage Prediction	Feb 2, 2018	Anomaly DetectionPrediction	—Unverified
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations	Feb 1, 2018	Anomaly DetectionClustering	—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