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 1711–1720 of 4856 papers

Title	Date	Tasks	Status
Data-Driven Construction of Data Center Graph of Things for Anomaly Detection	Apr 27, 2020	Anomaly DetectionGraph Neural Network	—Unverified
Data-Driven Thermal Anomaly Detection in Large Battery Packs	Oct 27, 2022	Anomaly Detection	—Unverified
Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems	Mar 24, 2020	Anomaly Detection	—Unverified
Anomalous Sound Detection using Audio Representation with Machine ID based Contrastive Learning Pretraining	Apr 7, 2023	Anomaly DetectionContrastive Learning	—Unverified
A Subspace Projection Approach to Autoencoder-based Anomaly Detection	Feb 15, 2023	Anomaly Detection	—Unverified
Do autoencoders need a bottleneck for anomaly detection?	Feb 25, 2022	Anomaly Detection	—Unverified
DOC3-Deep One Class Classification using Contradictions	May 17, 2021	Anomaly DetectionClassification	—Unverified
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection	Dec 15, 2022	Anomaly DetectionIntrusion Detection	—Unverified
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?	Apr 4, 2022	Anomaly DetectionArticles	—Unverified
ACE -- An Anomaly Contribution Explainer for Cyber-Security Applications	Dec 1, 2019	Anomaly Detection	—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	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