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 1621–1630 of 4856 papers

Title	Date	Tasks	Status	Hype
SORTAD: Self-Supervised Optimized Random Transformations for Anomaly Detection in Tabular Data	Nov 18, 2023	Anomaly Detection	—Unverified	0
Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World	Nov 17, 2023	Anomaly Detection	CodeCode Available	0
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection	Nov 17, 2023	Anomaly DetectionContrastive Learning	—Unverified	0
Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning	Nov 17, 2023	Anomaly DetectionDensity Estimation	—Unverified	0
TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection	Nov 16, 2023	Anomaly DetectionDepth Anomaly Detection and Segmentation	CodeCode Available	1
Weakly Supervised Anomaly Detection for Chest X-Ray Image	Nov 16, 2023	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	0
Approaching adverse event detection utilizing transformers on clinical time-series	Nov 15, 2023	Anomaly DetectionEvent Detection	—Unverified	0
An Improved Anomaly Detection Model for Automated Inspection of Power Line Insulators	Nov 14, 2023	Anomaly DetectionFault Detection	—Unverified	0
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework	Nov 14, 2023	Anomaly DetectionConformal Prediction	CodeCode Available	0
VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applications	Nov 14, 2023	Anomaly DetectionTrajectory Prediction	CodeCode Available	0

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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