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 3451–3460 of 4856 papers

Title	Date	Tasks	Status
TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera	Aug 27, 2021	Anomaly DetectionHuman Detection	—Unverified
Anomaly Detection on IT Operation Series via Online Matrix Profile	Aug 27, 2021	Anomaly DetectionTime Series	—Unverified
End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings	Aug 27, 2021	Anomaly DetectionFeature Engineering	—Unverified
Human readable network troubleshooting based on anomaly detection and feature scoring	Aug 26, 2021	Anomaly Detection	—Unverified
DeepFlow: Abnormal Traffic Flow Detection Using Siamese Networks	Aug 26, 2021	Anomaly DetectionDynamic Time Warping	—Unverified
Anomaly Detection in Medical Imaging -- A Mini Review	Aug 25, 2021	Anomaly Detection	—Unverified
Weakly-supervised Joint Anomaly Detection and Classification	Aug 20, 2021	Anomaly DetectionClassification	—Unverified
CloudShield: Real-time Anomaly Detection in the Cloud	Aug 20, 2021	Anomaly DetectionCloud Computing	CodeCode Available
Abnormal Road Surface Detection Using Wheel Sensor Data	Aug 20, 2021	Anomaly DetectionBinary Classification	—Unverified
Federated Variational Learning for Anomaly Detection in Multivariate Time Series	Aug 18, 2021	Anomaly DetectionRepresentation Learning	—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	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