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 3351–3375 of 4856 papers

Title	Date	Tasks	Status	Hype
ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions	Jun 4, 2021	Anomaly DetectionFault Diagnosis	CodeCode Available	1
Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans	Jun 3, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Heart Sound Classification Considering Additive Noise and Convolutional Distortion	Jun 3, 2021	Anomaly DetectionClassification	—Unverified	0
Heterogeneous Noisy Short Signal Camouflage in Multi-Domain Environment Decision-Making	Jun 2, 2021	Anomaly DetectionDecision Making	—Unverified	0
Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging	Jun 2, 2021	Anomaly DetectionChange Detection	—Unverified	0
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection	Jun 2, 2021	Anomaly DetectionData Augmentation	—Unverified	0
IoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making	Jun 2, 2021	Anomaly DetectionDecision Making	—Unverified	0
Analysis of Vision-based Abnormal Red Blood Cell Classification	Jun 1, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation	May 31, 2021	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1
CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System	May 30, 2021	Anomaly Detection	—Unverified	0
Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice	May 30, 2021	Adversarial AttackAnomaly Detection	CodeCode Available	0
Shell Theory: A Statistical Model of Reality	May 28, 2021	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	0
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider	May 28, 2021	Anomaly DetectionDensity Estimation	CodeCode Available	0
A Survey on Anomaly Detection for Technical Systems using LSTM Networks	May 28, 2021	Anomaly DetectionSurvey	—Unverified	0
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms	May 26, 2021	Anomaly DetectionNovelty Detection	—Unverified	0
Performance Analysis of a Foreground Segmentation Neural Network Model	May 26, 2021	Anomaly DetectionDecoder	—Unverified	0
CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study	May 25, 2021	Anomaly DetectionChange Detection	—Unverified	0
Finite sample guarantees for quantile estimation: An application to detector threshold tuning	May 25, 2021	Anomaly Detection	CodeCode Available	0
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing Data	May 25, 2021	Anomaly DetectionConformal Prediction	CodeCode Available	1
Deep Visual Anomaly detection with Negative Learning	May 24, 2021	Anomaly DetectionHallucination	—Unverified	0
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection	May 22, 2021	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	1
Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss	May 21, 2021	Anomaly Detection	—Unverified	0
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks	May 21, 2021	Anomaly Detectionimage-classification	CodeCode Available	0
Multi-Perspective Anomaly Detection	May 20, 2021	Anomaly DetectionDenoising	—Unverified	0
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection	May 20, 2021	Anomaly DetectionClustering	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	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
7	DDAD	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	PBAS	Detection AUROC	99.8	—	Unverified
10	HETMM	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	DDAD	Detection AUROC	98.9	—	Unverified
5	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	INP-Former ViT-B (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