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 4551–4575 of 4856 papers

Title	Date	Tasks	Status
Generating Synthetic X-ray Images of a Person from the Surface Geometry	May 1, 2018	AnatomyAnomaly Detection	—Unverified
Towards Experienced Anomaly Detector through Reinforcement Learning	Apr 29, 2018	Anomaly Detectionreinforcement-learning	—Unverified
STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection	Apr 23, 2018	Anomaly DetectionEvent Detection	—Unverified
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection	Apr 19, 2018	Anomaly DetectionFraud Detection	CodeCode Available
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows	Apr 17, 2018	Anomaly DetectionDistributed Computing	—Unverified
Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features	Apr 13, 2018	Anomaly DetectionDecision Making	CodeCode Available
Group Anomaly Detection using Deep Generative Models	Apr 13, 2018	Anomaly DetectionGroup Anomaly Detection	CodeCode Available
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images	Apr 12, 2018	AnatomyAnomaly Detection	CodeCode Available
E-commerce Anomaly Detection: A Bayesian Semi-Supervised Tensor Decomposition Approach using Natural Gradients	Apr 11, 2018	Anomaly DetectionData Augmentation	—Unverified
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

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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