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 3711–3720 of 4856 papers

Title	Date	Tasks	Status
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection	Apr 17, 2025	Anomaly DetectionData Augmentation	—Unverified
Matrix Profile based Anomaly Detection in Streaming Gait Data for Fall Prevention	Jul 18, 2023	Anomaly Detection	—Unverified
Matrix Profile for Anomaly Detection on Multidimensional Time Series	Sep 14, 2024	Anomaly DetectionTime Series	—Unverified
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series	Dec 9, 2022	Anomaly DetectionDynamic Time Warping	—Unverified
MAUCell: An Adaptive Multi-Attention Framework for Video Frame Prediction	Jan 28, 2025	Anomaly DetectionSSIM	—Unverified
Maximally Divergent Intervals for Anomaly Detection	Oct 21, 2016	Anomaly DetectionTime Series	—Unverified
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection	May 4, 2025	3D Anomaly DetectionAnomaly Detection	—Unverified
MCM-aware Twin-least-square GAN for Hyperspectral Anomaly Detection	Jan 1, 2021	Anomaly DetectionGenerative Adversarial Network	—Unverified
MDGAN: Boosting Anomaly Detection Using \ -Discriminator Generative Adversarial Networks	Oct 11, 2018	Anomaly Detectionvalid	—Unverified
Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task	Oct 1, 2018	Anomaly DetectionMachine Translation	—Unverified

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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	UniNet	Detection AUROC	99.9	—	Unverified
5	GLASS	Detection AUROC	99.9	—	Unverified
6	PBAS	Detection AUROC	99.8	—	Unverified
7	HETMM	Detection AUROC	99.8	—	Unverified
8	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	EfficientAD (early stopping)	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	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	DDAD	Detection AUROC	98.9	—	Unverified
7	GLASS	Detection AUROC	98.8	—	Unverified
8	DiffusionAD	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