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 1491–1500 of 4856 papers

Title	Date	Tasks	Status
An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices	Feb 27, 2020	Anomaly DetectionFederated Learning	—Unverified
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis	Apr 1, 2024	Anomaly DetectionDictionary Learning	—Unverified
Deep Learning for Medical Anomaly Detection -- A Survey	Dec 4, 2020	Anomaly DetectionDeep Learning	—Unverified
Deep Learning for Medical Image Analysis	Aug 17, 2017	Anomaly DetectionDeep Learning	—Unverified
Dealing with Imbalanced Classes in Bot-IoT Dataset	Mar 27, 2024	Anomaly DetectionBinary Classification	—Unverified
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection	May 12, 2022	Anomaly DetectionDeep Learning	—Unverified
Deep Learning for Spatio-Temporal Data Mining: A Survey	Jun 11, 2019	Anomaly DetectionDeep Learning	—Unverified
Deep learning for structural health monitoring: An application to heritage structures	Nov 4, 2022	Anomaly DetectionStructural Health Monitoring	—Unverified
Deep Learning for System Trace Restoration	Apr 10, 2019	Anomaly DetectionDeep Learning	—Unverified
AnomMAN: Detect Anomaly on Multi-view Attributed Networks	Jan 8, 2022	Anomaly Detection	—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