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 4226–4250 of 4856 papers

Title	Date	Tasks	Status
Inferring Networks From Random Walk-Based Node Similarities	Dec 1, 2018	Anomaly DetectionClustering	CodeCode Available
A Flexible Framework for Anomaly Detection via Dimensionality Reduction	Sep 9, 2019	Active LearningAnomaly Detection	CodeCode Available
Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization	May 10, 2019	Anomaly DetectionRetrieval	CodeCode Available
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pretrained Feature	Jan 6, 2021	Anomaly DetectionAnomaly Localization	CodeCode Available
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks	Feb 10, 2023	Anomaly Detection	CodeCode Available
An Unsupervised Framework for Anomaly Detection in a Water Treatment System.	Dec 16, 2019	Anomaly DetectionDecoder	CodeCode Available
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos	Jan 9, 2018	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection	Apr 4, 2019	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available
Dictionary Learning with Uniform Sparse Representations for Anomaly Detection	Jan 11, 2022	Anomaly DetectionDictionary Learning	CodeCode Available
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models	Mar 9, 2025	Anomaly DetectionMamba	CodeCode Available
Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysis	Jan 22, 2024	Anomaly Detection	CodeCode Available
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization	Mar 30, 2023	Anomaly DetectionAnomaly Localization	CodeCode Available
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks	Dec 26, 2022	Anomaly DetectionGraph Neural Network	CodeCode Available
A Novel Multi-Stage Approach for Hierarchical Intrusion Detection	Mar 21, 2023	Anomaly DetectionIntrusion Detection	CodeCode Available
A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRI	Nov 22, 2022	Anomaly DetectionMetric Learning	CodeCode Available
Improving Vision Anomaly Detection with the Guidance of Language Modality	Oct 4, 2023	Anomaly DetectionDefect Detection	CodeCode Available
Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning	Mar 6, 2019	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available
Improving Novelty Detection using the Reconstructions of Nearest Neighbours	Nov 11, 2021	Anomaly DetectionData Augmentation	CodeCode Available
Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider	Jul 27, 2018	Anomaly Detection	CodeCode Available
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks	Sep 30, 2020	Anomaly DetectionIntrusion Detection	CodeCode Available
Improved AutoEncoder with LSTM module and KL divergence	Apr 30, 2024	Anomaly Detection	CodeCode Available
Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Ultrasound Imaging	Nov 6, 2024	Anomaly Detectioncounterfactual	CodeCode Available
Improved Anomaly Detection through Conditional Latent Space VAE Ensembles	Oct 16, 2024	Anomaly Detection	CodeCode Available
MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection	May 18, 2023	Anomaly DetectionFew-Shot Learning	CodeCode Available
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection	Feb 8, 2018	Anomaly DetectionBIG-bench Machine Learning	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