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 3381–3390 of 4856 papers

Title	Date	Tasks	Status
Latent-Insensitive autoencoders for Anomaly Detection	Oct 25, 2021	Anomaly DetectionClass Incremental Learning	—Unverified
Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients	Oct 25, 2021	Anomaly DetectionMedical Image Analysis	—Unverified
Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator	Oct 22, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review	Oct 22, 2021	Anomaly DetectionSystematic Literature Review	—Unverified
Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction	Oct 15, 2021	Anomaly DetectionTime Series	—Unverified
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data	Oct 14, 2021	Anomaly DetectionEvent Detection	—Unverified
Challenges for Unsupervised Anomaly Detection in Particle Physics	Oct 13, 2021	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified
Deep Video Anomaly Detection: Opportunities and Challenges	Oct 11, 2021	Anomaly DetectionDeep Learning	—Unverified
A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it	Oct 11, 2021	Anomaly DetectionSurvey	—Unverified
Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions	Oct 10, 2021	Anomaly DetectionAnomaly Detection In Surveillance Videos	—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	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