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 1276–1300 of 4856 papers

Title	Date	Tasks	Status	Score
Anomaly Detection using One-Class Neural Networks	Feb 18, 2018	Anomaly 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
Generative Neural Networks for Anomaly Detection in Crowded Scenes	Oct 29, 2018	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	5
Anomaly Detection Using Normalizing Flow-Based Density Estimation and Synthetic Defect Classification	May 28, 2024	Anomaly DetectionClassification	CodeCode Available	5
Generative Optimization Networks for Memory Efficient Data Generation	Oct 6, 2021	Anomaly DetectionTime Series	CodeCode Available	5
GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient	Dec 11, 2024	Anomaly DetectionOutlier Detection	CodeCode Available	5
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach	Nov 4, 2024	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	5
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection	Jun 1, 2018	Anomaly DetectionImage Generation	CodeCode Available	5
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding	Jun 2, 2024	Anomaly DetectionDensity Estimation	CodeCode Available	5
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection	Jan 30, 2025	Anomaly DetectionTime Series	CodeCode Available	5
Generator Based Inference (GBI)	May 30, 2025	Anomaly Detectionparameter estimation	CodeCode Available	5
Anomaly detection using prediction error with Spatio-Temporal Convolutional LSTM	May 18, 2022	Anomaly DetectionPrediction	CodeCode Available	5
Contextual Information Based Anomaly Detection for a Multi-Scene UAV Aerial Videos	Mar 29, 2022	Anomaly DetectionManagement	CodeCode Available	5
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection	Mar 15, 2019	Anomaly Detection	CodeCode Available	5
Anomaly Detection using Principles of Human Perception	Mar 23, 2021	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training	May 17, 2018	Anomaly DetectionDecoder	CodeCode Available	5
Addressing the Impact of Localized Training Data in Graph Neural Networks	Jul 24, 2023	Anomaly DetectionGraph Generation	CodeCode Available	5
gen2Out: Detecting and Ranking Generalized Anomalies	Sep 6, 2021	Anomaly DetectionEEG	CodeCode Available	5
Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses	Sep 17, 2023	Anomaly DetectionTime Series	CodeCode Available	5
GADformer: A Transparent Transformer Model for Group Anomaly Detection on Trajectories	Mar 17, 2023	Anomaly DetectionGroup 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
Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly Detection	Apr 5, 2024	Anomaly DetectionDictionary Learning	CodeCode Available	5
A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views	Jul 2, 2023	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	5
Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection	Nov 12, 2024	Anomaly DetectionLanguage Modeling	CodeCode Available	5
Consistency-based anomaly detection with adaptive multiple-hypotheses predictions	May 1, 2019	Anomaly DetectionDiversity	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