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 421–430 of 4856 papers

Title	Date	Tasks	Status	Hype
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores	Oct 27, 2023	Anomaly Detection	CodeCode Available	1
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection	Dec 13, 2024	Anomaly Detection	CodeCode Available	1
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques	Sep 6, 2023	Anomaly Detection	CodeCode Available	1
FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata	Mar 28, 2022	Anomaly Detection	CodeCode Available	1
Camouflaged Object Detection	Jun 1, 2020	Anomaly DetectionCamouflaged Object Segmentation	CodeCode Available	1
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection	Aug 6, 2023	Anomaly DetectionSelf-Supervised Learning	CodeCode Available	1
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection	Dec 4, 2024	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	1
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification	May 29, 2025	Anomaly DetectionContrastive Learning	CodeCode Available	1
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection	Oct 6, 2021	Anomaly DetectionDefect Detection	CodeCode Available	1
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting	Dec 22, 2023	Anomaly DetectionTime Series	CodeCode Available	1

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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