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 3501–3525 of 4856 papers

Title	Date	Tasks	Status	Hype
Multicalibrated Partitions for Importance Weights	Mar 10, 2021	Anomaly DetectionDomain Adaptation	—Unverified	0
Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events	Mar 10, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge	Mar 10, 2021	Anomaly DetectionSensitivity	CodeCode Available	1
Pixel-wise Anomaly Detection in Complex Driving Scenes	Mar 9, 2021	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1
ZYELL-NCTU NetTraffic-1.0: A Large-Scale Dataset for Real-World Network Anomaly Detection	Mar 8, 2021	Anomaly DetectionIntrusion Detection	—Unverified	0
Anomaly Detection Based on Selection and Weighting in Latent Space	Mar 8, 2021	Anomaly Detection	—Unverified	0
Student-Teacher Feature Pyramid Matching for Anomaly Detection	Mar 7, 2021	Anomaly Detectionimage-classification	CodeCode Available	1
Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network	Mar 5, 2021	Anomaly DetectionDefect Detection	—Unverified	0
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images	Mar 5, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation	Mar 5, 2021	AnatomyAnomaly Detection	—Unverified	0
Neural Network-based Quantization for Network Automation	Mar 4, 2021	Anomaly DetectionDeep Learning	—Unverified	0
Event-Based Dynamic Banking Network Exploration for Economic Anomaly Detection	Mar 4, 2021	Anomaly Detection	—Unverified	0
Helicopter Track Identification with Autoencoder	Mar 3, 2021	Anomaly DetectionSelf-Supervised Learning	—Unverified	0
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms	Mar 3, 2021	Anomaly DetectionSelf-Driving Cars	CodeCode Available	1
A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity	Mar 2, 2021	Action AnalysisAction Recognition	CodeCode Available	1
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines	Mar 2, 2021	Anomaly DetectionTransfer Learning	CodeCode Available	0
Image/Video Deep Anomaly Detection: A Survey	Mar 2, 2021	Anomaly DetectionEvent Detection	—Unverified	0
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection	Mar 1, 2021	Anomaly DetectionFew-Shot Learning	—Unverified	0
Online anomaly detection using statistical leverage for streaming business process events	Mar 1, 2021	Anomaly Detection	CodeCode Available	0
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning	Feb 27, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation	Feb 24, 2021	Anomaly Detection	—Unverified	0
Deep Compact Polyhedral Conic Classifier for Open and Closed Set Recognition	Feb 24, 2021	Anomaly DetectionGeneral Classification	—Unverified	0
Automatic Feature Extraction for Heartbeat Anomaly Detection	Feb 24, 2021	Anomaly DetectionDecoder	CodeCode Available	0
Railway Anomaly detection model using synthetic defect images generated by CycleGAN	Feb 24, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems	Feb 23, 2021	Anomaly Detection	—Unverified	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