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 3651–3675 of 4856 papers

Title	Date	Tasks	Status
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection	Mar 27, 2021	Anomaly DetectionDecoder	CodeCode Available
Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems	Mar 25, 2021	Anomaly Detection	—Unverified
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation	Mar 25, 2021	Anomaly DetectionDensity Estimation	—Unverified
Learning Stable Representations with Full Encoder	Mar 25, 2021	Anomaly DetectionData Compression	—Unverified
Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability	Mar 24, 2021	Anomaly DetectionTime Series	—Unverified
Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise	Mar 24, 2021	Anomaly DetectionTime Series	CodeCode Available
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI	Mar 24, 2021	Anomaly DetectionLesion Detection	—Unverified
Anomaly Detection using Principles of Human Perception	Mar 23, 2021	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available
Unsupervised Two-Stage Anomaly Detection	Mar 22, 2021	Anomaly DetectionImage Reconstruction	—Unverified
A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients	Mar 22, 2021	Anomaly DetectionDeep Learning	CodeCode Available
A Modular and Unified Framework for Detecting and Localizing Video Anomalies	Mar 21, 2021	Anomaly DetectionEvent Detection	—Unverified
Enhancing Robustness of On-line Learning Models on Highly Noisy Data	Mar 19, 2021	Anomaly DetectionFace Recognition	CodeCode Available
Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies	Mar 18, 2021	Anomaly DetectionGraph Learning	—Unverified
Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation	Mar 16, 2021	AnatomyAnomaly Detection	—Unverified
Data-driven Thermal Anomaly Detection for Batteries using Unsupervised Shape Clustering	Mar 16, 2021	Anomaly DetectionClustering	—Unverified
Flow-based Self-supervised Density Estimation for Anomalous Sound Detection	Mar 16, 2021	Anomaly DetectionDensity Estimation	—Unverified
Unsupervised anomaly detection in digital pathology using GANs	Mar 16, 2021	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified
Stack of discriminative autoencoders for multiclass anomaly detection in endoscopy images	Mar 15, 2021	Anomaly DetectionClustering	—Unverified
Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video	Mar 15, 2021	Anomaly DetectionFew-Shot Learning	—Unverified
A new interpretable unsupervised anomaly detection method based on residual explanation	Mar 14, 2021	Anomaly DetectionDecision Making	—Unverified
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations	Mar 12, 2021	Anomaly DetectionDenoising	CodeCode Available
Bump Hunting in Latent Space	Mar 11, 2021	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available
Learning-Based Vulnerability Analysis of Cyber-Physical Systems	Mar 10, 2021	Anomaly Detection	—Unverified
Multicalibrated Partitions for Importance Weights	Mar 10, 2021	Anomaly DetectionDomain Adaptation	—Unverified
Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events	Mar 10, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified

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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