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 671–680 of 4856 papers

Title	Date	Tasks	Status	Hype
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection	Nov 18, 2024	Anomaly DetectionLarge Language Model	CodeCode Available	1
AnyECG: Foundational Models for Multitask Cardiac Analysis in Real-World Settings	Nov 17, 2024	Anomaly DetectionArrhythmia Detection	—Unverified	0
Anomaly Detection for People with Visual Impairments Using an Egocentric 360-Degree Camera	Nov 17, 2024	Anomaly Detection	—Unverified	0
INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection	Nov 17, 2024	Anomaly DetectionHallucination	—Unverified	0
TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance	Nov 17, 2024	Anomaly Detection	—Unverified	0
Steam Turbine Anomaly Detection: An Unsupervised Learning Approach Using Enhanced Long Short-Term Memory Variational Autoencoder	Nov 16, 2024	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0
On-device Anomaly Detection in Conveyor Belt Operations	Nov 16, 2024	Anomaly Detection	—Unverified	0
Take Package as Language: Anomaly Detection Using Transformer	Nov 15, 2024	Anomaly DetectionIntrusion Detection	CodeCode Available	0
Outliers resistant image classification by anomaly detection	Nov 15, 2024	Anomaly DetectionClassification	—Unverified	0
A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation	Nov 15, 2024	Anomaly DetectionDiagnostic	CodeCode Available	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	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