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 901–925 of 4856 papers

Title	Date	Tasks	Status	Hype
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection	Mar 20, 2019	Anomaly DetectionDeep Learning	CodeCode Available	1
Explaining Anomalies Detected by Autoencoders Using SHAP	Mar 6, 2019	Anomaly DetectionOutlier Detection	CodeCode Available	1
Unsupervised Traffic Accident Detection in First-Person Videos	Mar 2, 2019	Anomaly DetectionAutonomous Driving	CodeCode Available	1
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling	Feb 6, 2019	Anomaly DetectionAttribute	CodeCode Available	1
One-Class Convolutional Neural Network	Jan 24, 2019	Anomaly DetectionGeneral Classification	CodeCode Available	1
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning	Jan 23, 2019	Active LearningAnomaly Detection	CodeCode Available	1
PyOD: A Python Toolbox for Scalable Outlier Detection	Jan 6, 2019	Anomaly DetectionOutlier Detection	CodeCode Available	1
Deep Anomaly Detection with Outlier Exposure	Dec 11, 2018	Anomaly DetectionOut-of-Distribution Detection	CodeCode Available	1
Adversarially Learned Anomaly Detection	Dec 6, 2018	Anomaly Detection	CodeCode Available	1
GLAD: GLocalized Anomaly Detection via Human-in-the-Loop Learning	Oct 2, 2018	Anomaly Detection	CodeCode Available	1
Active Anomaly Detection via Ensembles	Sep 17, 2018	Active LearningAnomaly Detection	CodeCode Available	1
How To Backdoor Federated Learning	Jul 2, 2018	Anomaly DetectionData Poisoning	CodeCode Available	1
Future Frame Prediction for Anomaly Detection â A New Baseline	Jun 1, 2018	Anomaly DetectionOptical Flow Estimation	CodeCode Available	1
Deep Anomaly Detection Using Geometric Transformations	May 28, 2018	Anomaly Detection	CodeCode Available	1
Real-world Anomaly Detection in Surveillance Videos	Jan 12, 2018	Abnormal Event Detection In VideoActivity Recognition	CodeCode Available	1
Future Frame Prediction for Anomaly Detection -- A New Baseline	Dec 28, 2017	Anomaly DetectionOptical Flow Estimation	CodeCode Available	1
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs	Dec 11, 2017	Anomaly DetectionSpecificity	CodeCode Available	1
Deep and Confident Prediction for Time Series at Uber	Sep 6, 2017	Anomaly DetectionPrediction	CodeCode Available	1
Incorporating Feedback into Tree-based Anomaly Detection	Aug 30, 2017	Anomaly Detection	CodeCode Available	1
Unsupervised Body Part Regression via Spatially Self-ordering Convolutional Neural Networks	Jul 12, 2017	Anomaly Detectionregression	CodeCode Available	1
Deep Sets	Mar 10, 2017	Anomaly DetectionOutlier Detection	CodeCode Available	1
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	Oct 7, 2016	Anomaly DetectionAutomatic Speech Recognition	CodeCode Available	1
Robust random cut forest based anomaly detection on streams	Jun 19, 2016	Anomaly Detection	CodeCode Available	1
Deep Structured Energy Based Models for Anomaly Detection	May 25, 2016	Anomaly Detection	CodeCode Available	1
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark	Oct 12, 2015	Anomaly DetectionTime Series	CodeCode Available	1

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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