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 471–480 of 4856 papers

Title	Date	Tasks	Status	Hype
Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection	Jan 26, 2025	Anomaly DetectionAutonomous Driving	CodeCode Available	0
Efficient Client Selection in Federated Learning	Jan 25, 2025	Anomaly DetectionFederated Learning	—Unverified	0
Median of Forests for Robust Density Estimation	Jan 25, 2025	Anomaly DetectionDensity Estimation	—Unverified	0
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges	Jan 25, 2025	Anomaly DetectionDiversity	CodeCode Available	1
Kernel-Based Anomaly Detection Using Generalized Hyperbolic Processes	Jan 25, 2025	Anomaly DetectionDensity Estimation	CodeCode Available	0
Exploring the impact of Optimised Hyperparameters on Bi-LSTM-based Contextual Anomaly Detector	Jan 25, 2025	Anomaly DetectionContextual Anomaly Detection	—Unverified	0
"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection	Jan 25, 2025	Anomaly DetectionImage Generation	—Unverified	0
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs	Jan 25, 2025	Anomaly DetectionGraph Anomaly Detection	—Unverified	0
Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case	Jan 25, 2025	Anomaly DetectionFederated Learning	—Unverified	0
Bi-directional Curriculum Learning for Graph Anomaly Detection: Dual Focus on Homogeneity and Heterogeneity	Jan 24, 2025	Anomaly DetectionGraph Anomaly Detection	—Unverified	0

Show:10 25 50

← PrevPage 48 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