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 1251–1275 of 4856 papers

Title	Date	Tasks	Status	Score
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection	Mar 18, 2019	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	5
Graph Embedded Pose Clustering for Anomaly Detection	Dec 26, 2019	Anomaly DetectionClustering	CodeCode Available	5
Anomaly Detection with Density Estimation	Jan 14, 2020	Anomaly DetectionDensity Estimation	CodeCode Available	5
GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient	Dec 11, 2024	Anomaly DetectionOutlier Detection	CodeCode Available	5
Anomaly Detection with Adversarial Dual Autoencoders	Feb 19, 2019	Anomaly DetectionImage Generation	CodeCode Available	5
GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model	Mar 23, 2025	Anomaly DetectionDrug Discovery	CodeCode Available	5
Anomaly Detection via Self-organizing Map	Jul 21, 2021	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography	Jun 18, 2022	Anomaly DetectionComputed Tomography (CT)	CodeCode Available	5
Anomaly Detection via oversampling Principal Component Analysis	Jul 1, 2013	Anomaly DetectionOutlier Detection	CodeCode Available	5
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection	Dec 2, 2019	Anomaly Detection	CodeCode Available	5
Good Practices and A Strong Baseline for Traffic Anomaly Detection	May 9, 2021	Anomaly DetectionManagement	CodeCode Available	5
Generative Neural Networks for Anomaly Detection in Crowded Scenes	Oct 29, 2018	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	5
A brief introduction to a framework named Multilevel Guidance-Exploration Network	Dec 7, 2023	Anomaly Detection	CodeCode Available	5
Generative Optimization Networks for Memory Efficient Data Generation	Oct 6, 2021	Anomaly DetectionTime Series	CodeCode Available	5
Anomaly Detection via Graphical Lasso	Nov 10, 2018	Anomaly Detection	CodeCode Available	5
General Domain Adaptation Through Proportional Progressive Pseudo Labeling	Dec 23, 2020	Anomaly DetectionDomain Adaptation	CodeCode Available	5
A Compact Convolutional Neural Network for Textured Surface Anomaly Detection	May 18, 2018	Anomaly DetectionAnomaly Segmentation	CodeCode Available	5
Generator Based Inference (GBI)	May 30, 2025	Anomaly Detectionparameter estimation	CodeCode Available	5
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection	Jan 30, 2025	Anomaly DetectionTime Series	CodeCode Available	5
Anomaly Detection using Principles of Human Perception	Mar 23, 2021	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
Anomaly detection using prediction error with Spatio-Temporal Convolutional LSTM	May 18, 2022	Anomaly DetectionPrediction	CodeCode Available	5
A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients	Mar 22, 2021	Anomaly DetectionDeep Learning	CodeCode Available	5
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection	Mar 15, 2019	Anomaly Detection	CodeCode Available	5
GANetic Loss for Generative Adversarial Networks with a Focus on Medical Applications	Jun 7, 2024	Anomaly DetectionImage Generation	CodeCode Available	5
Anomaly Detection using One-Class Neural Networks	Feb 18, 2018	Anomaly Detection	CodeCode Available	5

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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