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 4571–4580 of 4856 papers

Title	Date	Tasks	Status	Hype
Precision and Recall for Time Series	Mar 8, 2018	Anomaly DetectionGeneral Classification	CodeCode Available	0
Arbitrary Discrete Sequence Anomaly Detection with Zero Boundary LSTM	Mar 6, 2018	Anomaly Detection	—Unverified	0
Abnormality Detection in Mammography using Deep Convolutional Neural Networks	Mar 5, 2018	Anomaly Detection	—Unverified	0
Analyzing Business Process Anomalies Using Autoencoders	Mar 3, 2018	Anomaly Detection	—Unverified	0
Graph Laplacian for Image Anomaly Detection	Feb 27, 2018	Anomaly Detection	CodeCode Available	0
Adversarially Learned One-Class Classifier for Novelty Detection	Feb 25, 2018	Anomaly DetectionNovelty Detection	CodeCode Available	0
BRUNO: A Deep Recurrent Model for Exchangeable Data	Feb 21, 2018	Anomaly DetectionBayesian Inference	CodeCode Available	0
Anomaly Detection using One-Class Neural Networks	Feb 18, 2018	Anomaly Detection	CodeCode Available	0
Efficient GAN-Based Anomaly Detection	Feb 17, 2018	Anomaly Detection	CodeCode Available	0
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding	Feb 13, 2018	Anomaly Detection	CodeCode Available	2

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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