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 3251–3260 of 4856 papers

Title	Date	Tasks	Status	Hype
Margin-Aware Intra-Class Novelty Identification for Medical Images	Jul 31, 2021	Anomaly DetectionMedical Image Analysis	CodeCode Available	0
Anomaly Detection with Neural Parsers That Never Reject	Jul 30, 2021	Anomaly DetectionSentence	—Unverified	0
Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs	Jul 29, 2021	Anomaly Detection	—Unverified	0
Using Visual Anomaly Detection for Task Execution Monitoring	Jul 29, 2021	Anomaly DetectionOptical Flow Estimation	CodeCode Available	0
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection	Jul 29, 2021	Anomaly DetectionVideo Anomaly Detection	—Unverified	0
Fast Wireless Sensor Anomaly Detection based on Data Stream in Edge Computing Enabled Smart Greenhouse	Jul 28, 2021	Anomaly DetectionDecision Making	—Unverified	0
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection	Jul 28, 2021	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals	Jul 27, 2021	Activity RecognitionAnomaly Detection	—Unverified	0
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows	Jul 27, 2021	Anomaly ClassificationAnomaly Detection	CodeCode Available	1
Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders	Jul 27, 2021	Anomaly DetectionGravitational Wave Detection	—Unverified	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	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