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 1661–1670 of 4856 papers

Title	Date	Tasks	Status	Score
Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly Detector	Oct 30, 2024	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
Effect of Deep Transfer and Multi task Learning on Sperm Abnormality Detection	Nov 21, 2021	Anomaly DetectionMulti-Task Learning	CodeCode Available	5
Coupled-Space Attacks against Random-Walk-based Anomaly Detection	Jul 26, 2023	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	5
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection	Mar 21, 2024	Anomaly DetectionMedical Image Analysis	CodeCode Available	5
(1 + )-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets	Jun 14, 2019	Anomaly DetectionGeneral Classification	CodeCode Available	5
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation	Oct 29, 2021	Anomaly Detection	CodeCode Available	5
Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication	Jan 28, 2025	Anomaly ClassificationAnomaly Detection	CodeCode Available	5
Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing	Jun 9, 2021	Anomaly Detectionvehicle detection	CodeCode Available	5
A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation	Nov 15, 2024	Anomaly DetectionDiagnostic	CodeCode Available	5
Dynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly Detection	Dec 4, 2023	Anomaly DetectionVideo Anomaly Detection	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	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
7	DDAD	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	PBAS	Detection AUROC	99.8	—	Unverified
10	HETMM	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	DDAD	Detection AUROC	98.9	—	Unverified
5	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	INP-Former ViT-B (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