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 2421–2430 of 4856 papers

Title	Date	Tasks	Status
AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning	Oct 7, 2021	Anomaly DetectionAnomaly Segmentation	—Unverified
Ano-SuPs: Multi-size anomaly detection for manufactured products by identifying suspected patches	Sep 20, 2023	Anomaly Detection	—Unverified
A Novel Anomaly Detection Algorithm for Hybrid Production Systems based on Deep Learning and Timed Automata	Oct 29, 2020	Anomaly Detection	—Unverified
A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network	Feb 19, 2022	Anomaly DetectionGraph Neural Network	—Unverified
A novel data-driven algorithm to predict anomalous prescription based on patient's feature set	Nov 30, 2021	Anomaly Detection	—Unverified
A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement	Nov 8, 2021	Anomaly Detection	—Unverified
A Novel Representation of Periodic Pattern and Its Application to Untrained Anomaly Detection	Sep 9, 2024	Anomaly Detection	—Unverified
Anticipated Network Surveillance -- An extrapolated study to predict cyber-attacks using Machine Learning and Data Analytics	Dec 27, 2023	Anomaly Detection	—Unverified
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework	Dec 30, 2024	Anomaly DetectionModel Selection	—Unverified
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything	Dec 7, 2023	Anomaly DetectionAstronomy	—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	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
7	DDAD	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	PBAS	Detection AUROC	99.8	—	Unverified
10	HETMM	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	DDAD	Detection AUROC	98.9	—	Unverified
5	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	INP-Former ViT-B (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