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 3461–3470 of 4856 papers

Title	Date	Tasks	Status	Hype
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses	Apr 5, 2021	Anomaly DetectionAutonomous Driving	—Unverified	0
Isconna: Streaming Anomaly Detection with Frequency and Patterns	Apr 4, 2021	Anomaly Detection	CodeCode Available	0
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection	Apr 4, 2021	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1
"Forget" the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks	Apr 3, 2021	Anomaly DetectionComputational Efficiency	—Unverified	0
Online Forecasting and Anomaly Detection Based on the ARIMA Model	Apr 2, 2021	Anomaly DetectionChange Point Detection	CodeCode Available	1
Detecting Anomalies Through Contrast in Heterogeneous Data	Apr 2, 2021	Anomaly DetectionContrastive Learning	—Unverified	0
Resource-aware Time Series Imaging Classification for Wireless Link Layer Anomalies	Apr 2, 2021	Anomaly DetectionDynamic Time Warping	—Unverified	0
The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection	Apr 1, 2021	Anomaly Detection	—Unverified	0
Self-supervised learning for tool wear monitoring with a disentangled-variational-autoencoder	Mar 31, 2021	Anomaly DetectionFeature Engineering	CodeCode Available	1
RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning	Mar 31, 2021	Active LearningAnomaly Detection	—Unverified	0

Show:10 25 50

← PrevPage 347 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	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