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

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Showing 3551–3575 of 4856 papers

Title	Date	Tasks	Status
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data	Jun 9, 2021	Anomaly DetectionDeep Learning	—Unverified
Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing	Jun 9, 2021	Anomaly Detectionvehicle detection	CodeCode Available
Spot the Difference: Detection of Topological Changes via Geometric Alignment	Jun 9, 2021	Anomaly DetectionDomain Adaptation	CodeCode Available
Deep Random Projection Outlyingness for Unsupervised Anomaly Detection	Jun 8, 2021	Anomaly DetectionCompressive Sensing	—Unverified
Shifting Transformation Learning for Out-of-Distribution Detection	Jun 7, 2021	Anomaly DetectionContrastive Learning	—Unverified
FlexParser -- the adaptive log file parser for continuous results in a changing world	Jun 6, 2021	Anomaly DetectionIntrusion Detection	—Unverified
Heart Sound Classification Considering Additive Noise and Convolutional Distortion	Jun 3, 2021	Anomaly DetectionClassification	—Unverified
Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans	Jun 3, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection	Jun 2, 2021	Anomaly DetectionData Augmentation	—Unverified
Heterogeneous Noisy Short Signal Camouflage in Multi-Domain Environment Decision-Making	Jun 2, 2021	Anomaly DetectionDecision Making	—Unverified
Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging	Jun 2, 2021	Anomaly DetectionChange Detection	—Unverified
IoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making	Jun 2, 2021	Anomaly DetectionDecision Making	—Unverified
Analysis of Vision-based Abnormal Red Blood Cell Classification	Jun 1, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice	May 30, 2021	Adversarial AttackAnomaly Detection	CodeCode Available
CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System	May 30, 2021	Anomaly Detection	—Unverified
A Survey on Anomaly Detection for Technical Systems using LSTM Networks	May 28, 2021	Anomaly DetectionSurvey	—Unverified
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
Shell Theory: A Statistical Model of Reality	May 28, 2021	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms	May 26, 2021	Anomaly DetectionNovelty Detection	—Unverified
Performance Analysis of a Foreground Segmentation Neural Network Model	May 26, 2021	Anomaly DetectionDecoder	—Unverified
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
Finite sample guarantees for quantile estimation: An application to detector threshold tuning	May 25, 2021	Anomaly Detection	CodeCode Available
Deep Visual Anomaly detection with Negative Learning	May 24, 2021	Anomaly DetectionHallucination	—Unverified
Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss	May 21, 2021	Anomaly Detection	—Unverified
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks	May 21, 2021	Anomaly Detectionimage-classification	CodeCode Available

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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