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 651–675 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data	Dec 25, 2021	Anomaly Detectioncontinual anomaly detection	CodeCode Available	1	5
LogGPT: Log Anomaly Detection via GPT	Sep 25, 2023	Anomaly DetectionLanguage Modeling	CodeCode Available	1	5
LogLead -- Fast and Integrated Log Loader, Enhancer, and Anomaly Detector	Nov 20, 2023	Anomaly DetectionBenchmarking	CodeCode Available	1	5
GI-PIP: Do We Require Impractical Auxiliary Dataset for Gradient Inversion Attacks?	Jan 22, 2024	Anomaly DetectionFederated Learning	CodeCode Available	1	5
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models	Feb 10, 2023	Anomaly DetectionEvent Detection	CodeCode Available	1	5
Are we certain it's anomalous?	Nov 16, 2022	Anomaly DetectionTime Series	CodeCode Available	1	5
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection	Feb 22, 2024	Anomaly DetectionDynamic Time Warping	CodeCode Available	1	5
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection	Dec 18, 2024	3D Anomaly DetectionAnomaly Detection	CodeCode Available	1	5
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection	Mar 23, 2022	Anomaly DetectionMultiple Instance Learning	CodeCode Available	1	5
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning	May 30, 2023	Anomaly DetectionData Augmentation	CodeCode Available	1	5
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving	Dec 6, 2024	Anomaly DetectionAutonomous Driving	CodeCode Available	1	5
Generalized Out-of-Distribution Detection: A Survey	Oct 21, 2021	Anomaly DetectionAutonomous Driving	CodeCode Available	1	5
GLAD: GLocalized Anomaly Detection via Human-in-the-Loop Learning	Oct 2, 2018	Anomaly Detection	CodeCode Available	1	5
Graph Convolutional Networks for traffic anomaly	Dec 25, 2020	Anomaly DetectionEvent Detection	CodeCode Available	1	5
Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders	Jun 23, 2020	Anomaly DetectionMedical Image Analysis	CodeCode Available	1	5
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis	Oct 18, 2023	Anomaly DetectionImputation	CodeCode Available	1	5
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection	Mar 27, 2020	Anomaly DetectionBinary Classification	CodeCode Available	1	5
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment	Dec 2, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections	Apr 15, 2025	Anomaly DetectionAnomaly Localization	CodeCode Available	1	5
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity	May 29, 2020	Active LearningAnomaly Detection	CodeCode Available	1	5
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection	Sep 12, 2023	Anomaly DetectionFew-Shot Learning	CodeCode Available	1	5
Holistic Representation Learning for Multitask Trajectory Anomaly Detection	Nov 3, 2023	Anomaly DetectionDecoder	CodeCode Available	1	5
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances	Jul 16, 2020	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization	Apr 8, 2021	Anomaly ClassificationAnomaly Detection	CodeCode Available	1	5
Future Frame Prediction for Anomaly Detection â A New Baseline	Jun 1, 2018	Anomaly DetectionOptical Flow Estimation	CodeCode Available	1	5

Show:10 25 50

← PrevPage 27 of 195Next →

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