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 3401–3410 of 4856 papers

Title	Date	Tasks	Status
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data	Oct 5, 2021	Anomaly DetectionEvent Detection	—Unverified
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images	Oct 5, 2021	Anomaly DetectionImage Reconstruction	—Unverified
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection	Oct 5, 2021	Anomaly Detection	—Unverified
Stochastic tensor space feature theory with applications to robust machine learning	Oct 4, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Probabilistic Robust Autoencoders for Outlier Detection	Oct 1, 2021	Anomaly DetectionOutlier Detection	—Unverified
Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection	Oct 1, 2021	Anomaly Detection	—Unverified
Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains	Sep 29, 2021	Anomaly DetectionTime Series	—Unverified
ANOMALY DETECTION WITH FRAME-GROUP ATTENTION IN SURVEILLANCE VIDEOS	Sep 29, 2021	Anomaly Detection	—Unverified
Anomaly Detection for Tabular Data with Internal Contrastive Learning	Sep 29, 2021	Anomaly DetectionContrastive Learning	—Unverified
Fast Adaptive Anomaly Detection	Sep 29, 2021	Anomaly DetectionMeta-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