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 621–630 of 4856 papers

Title	Date	Tasks	Status	Hype
Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection	May 19, 2022	Anomaly DetectionModel Selection	CodeCode Available	1
Automating In-Network Machine Learning	May 18, 2022	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	1
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs	May 9, 2022	AnatomyAnomaly Detection	CodeCode Available	1
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series	May 4, 2022	Anomaly DetectionSelf-Supervised Learning	CodeCode Available	1
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving	May 3, 2022	Anomaly DetectionAutonomous Driving	CodeCode Available	1
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs	Apr 28, 2022	Anomaly DetectionGenerative Adversarial Network	CodeCode Available	1
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms	Apr 21, 2022	Anomaly DetectionFraud Detection	CodeCode Available	1
Representation Learning for Content-Sensitive Anomaly Detection in Industrial Networks	Apr 20, 2022	Anomaly DetectionIntrusion Detection	CodeCode Available	1
Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware	Apr 20, 2022	Anomaly DetectionModel Optimization	CodeCode Available	1
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data	Apr 14, 2022	Anomaly DetectionTime Series	CodeCode Available	1

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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