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 4176–4200 of 4856 papers

Title	Date	Tasks	Status	Hype
Fault Detection Using Nonlinear Low-Dimensional Representation of Sensor Data	Oct 2, 2019	Anomaly DetectionDimensionality Reduction	—Unverified	0
Joint Prediction for Kinematic Trajectories in Vehicle-Pedestrian-Mixed Scenes	Oct 1, 2019	Anomaly DetectionAutonomous Driving	—Unverified	0
Anomaly Detection in Video Sequence With Appearance-Motion Correspondence	Oct 1, 2019	Anomaly DetectionAnomaly Detection In Surveillance Videos	—Unverified	0
Active Anomaly Detection for time-domain discoveries	Sep 29, 2019	Active LearningAnomaly Detection	—Unverified	0
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods	Sep 26, 2019	Anomaly DetectionClassification	—Unverified	0
RATE-DISTORTION OPTIMIZATION GUIDED AUTOENCODER FOR GENERATIVE APPROACH	Sep 25, 2019	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0
Adversarially learned anomaly detection for time series data	Sep 25, 2019	Anomaly DetectionTime Series	—Unverified	0
Versatile Anomaly Detection with Outlier Preserving Distribution Mapping Autoencoders	Sep 25, 2019	Anomaly DetectionOutlier Detection	—Unverified	0
Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning	Sep 25, 2019	Anomaly DetectionDensity Estimation	—Unverified	0
On unsupervised-supervised risk and one-class neural networks	Sep 25, 2019	Anomaly DetectionClustering	—Unverified	0
Deep End-to-end Unsupervised Anomaly Detection	Sep 25, 2019	Anomaly DetectionClustering	—Unverified	0
Input complexity and out-of-distribution detection with likelihood-based generative models	Sep 25, 2019	Anomaly DetectionOut-of-Distribution Detection	CodeCode Available	0
When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations	Sep 25, 2019	Anomaly Detection	—Unverified	0
Combining Machine Learning Models using combo Library	Sep 21, 2019	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	0
Genetic Neural Architecture Search for automatic assessment of human sperm images	Sep 20, 2019	Anomaly DetectionNeural Architecture Search	—Unverified	0
Fault-Diagnosing SLAM for Varying Scale Change Detection	Sep 16, 2019	Anomaly DetectionChange Detection	—Unverified	0
No Free Lunch But A Cheaper Supper: A General Framework for Streaming Anomaly Detection	Sep 16, 2019	Anomaly Detection	—Unverified	0
LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory	Sep 13, 2019	Anomaly DetectionPrediction	—Unverified	0
Perceptual Image Anomaly Detection	Sep 12, 2019	Anomaly DetectionImage Reconstruction	CodeCode Available	1
Anomaly Detection with Inexact Labels	Sep 11, 2019	Anomaly DetectionMultiple Instance Learning	—Unverified	0
Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs	Sep 10, 2019	Anomaly DetectionTAG	—Unverified	0
A Flexible Framework for Anomaly Detection via Dimensionality Reduction	Sep 9, 2019	Active LearningAnomaly Detection	CodeCode Available	0
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise	Sep 9, 2019	Anomaly Detection	—Unverified	0
Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection	Sep 8, 2019	Anomaly DetectionRaw reconstruction	—Unverified	0
Image anomaly detection with capsule networks and imbalanced datasets	Sep 6, 2019	Anomaly Detection	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