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 2391–2400 of 4856 papers

Title	Date	Tasks	Status	Hype
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems	Dec 2, 2022	Anomaly Detectioncounterfactual	—Unverified	0
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment	Dec 2, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	1
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection	Dec 2, 2022	Anomaly DetectionDeep Learning	—Unverified	0
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View	Dec 1, 2022	Anomaly DetectionContrastive Learning	—Unverified	0
An Attribute-based Method for Video Anomaly Detection	Dec 1, 2022	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	1
Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning	Dec 1, 2022	Anomaly DetectionVideo Anomaly Detection	—Unverified	0
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch	Nov 30, 2022	Anomaly DetectionSemi-supervised Anomaly Detection	—Unverified	0
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative	Nov 30, 2022	Anomaly DetectionMedical Image Analysis	CodeCode Available	0
Interpreting Vulnerabilities of Multi-Instance Learning to Adversarial Perturbations	Nov 30, 2022	Anomaly DetectionImage Classification	CodeCode Available	0
Novelty Detection for Election Fraud: A Case Study with Agent-Based Simulation Data	Nov 29, 2022	Anomaly DetectionNovelty Detection	—Unverified	0

Show:10 25 50

← PrevPage 240 of 486Next →

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