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 3701–3710 of 4856 papers

Title	Date	Tasks	Status
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?	Feb 12, 2021	Anomaly DetectionFraud Detection	—Unverified
Mutually exciting point process graphs for modelling dynamic networks	Feb 11, 2021	Anomaly DetectionPoint Processes	CodeCode Available
LIME: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks	Feb 11, 2021	Anomaly DetectionFraud Detection	CodeCode Available
Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems	Feb 11, 2021	Anomaly DetectionTime Series Analysis	—Unverified
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions	Feb 10, 2021	Anomaly DetectionSafe Reinforcement Learning	—Unverified
VeeAlign: Multifaceted Context Representation using Dual Attention for Ontology Alignment	Feb 8, 2021	Anomaly DetectionData Integration	CodeCode Available
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning	Feb 5, 2021	Anomaly Detectionregression	CodeCode Available
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models	Feb 4, 2021	Anomaly DetectionModel Selection	—Unverified
SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation	Feb 4, 2021	Anomaly DetectionFederated Learning	—Unverified
Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework	Feb 3, 2021	Anomaly DetectionDefect Detection	—Unverified

Show:10 25 50

← PrevPage 371 of 486Next →

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	UniNet	Detection AUROC	99.9	—	Unverified
5	GLASS	Detection AUROC	99.9	—	Unverified
6	PBAS	Detection AUROC	99.8	—	Unverified
7	HETMM	Detection AUROC	99.8	—	Unverified
8	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	EfficientAD (early stopping)	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	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	DDAD	Detection AUROC	98.9	—	Unverified
7	GLASS	Detection AUROC	98.8	—	Unverified
8	DiffusionAD	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