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 401–425 of 4856 papers

Title	Date	Tasks	Status	Hype
OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking	Sep 4, 2023	Anomaly DetectionAutoML	CodeCode Available	1
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization	Aug 30, 2023	Anomaly DetectionAnomaly Localization	CodeCode Available	1
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI	Aug 30, 2023	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection	Aug 29, 2023	Anomaly DetectionAnomaly Localization	CodeCode Available	1
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks	Aug 28, 2023	Anomaly DetectionGraph Neural Network	CodeCode Available	1
REB: Reducing Biases in Representation for Industrial Anomaly Detection	Aug 24, 2023	Anomaly DetectionDefect Detection	CodeCode Available	1
Class Label-aware Graph Anomaly Detection	Aug 22, 2023	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1
TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection	Aug 21, 2023	Anomaly DetectionAttribute	CodeCode Available	1
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection	Aug 18, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1
On the Effectiveness of Log Representation for Log-based Anomaly Detection	Aug 17, 2023	Anomaly DetectionLog Parsing	CodeCode Available	1
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition	Aug 15, 2023	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	1
Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies	Aug 15, 2023	Anomaly DetectionLog Parsing	CodeCode Available	1
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval	Aug 13, 2023	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	1
Out-of-Distribution Detection for Monocular Depth Estimation	Aug 11, 2023	Anomaly DetectionDecoder	CodeCode Available	1
Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories	Aug 9, 2023	Anomaly DetectionAstronomy	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
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection	Aug 3, 2023	Anomaly DetectionDiagnostic	CodeCode Available	1
UGainS: Uncertainty Guided Anomaly Instance Segmentation	Aug 3, 2023	Anomaly DetectionAnomaly Instance Segmentation	CodeCode Available	1
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images	Aug 3, 2023	AnatomyAnomaly Detection	CodeCode Available	1
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach	Aug 2, 2023	Anomaly DetectionDeep Learning	CodeCode Available	1
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision	Jul 25, 2023	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	1
Unmasking Anomalies in Road-Scene Segmentation	Jul 25, 2023	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection	Jul 24, 2023	Anomaly DetectionDefect Detection	CodeCode Available	1
Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model	Jul 24, 2023	Anomaly DetectionRetrieval	CodeCode Available	1
Optimizing PatchCore for Few/many-shot Anomaly Detection	Jul 20, 2023	Anomaly DetectionAnomaly Segmentation	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