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 1271–1280 of 4856 papers

Title	Date	Tasks	Status	Hype
Machine learning-based identification of Gaia astrometric exoplanet orbits	Apr 14, 2024	Anomaly DetectionFeature Importance	CodeCode Available	0
Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora	Apr 14, 2024	Anomaly DetectionArticles	—Unverified	0
Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling	Apr 13, 2024	Anomaly DetectionSelf-Supervised Learning	—Unverified	0
FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination	Apr 12, 2024	Anomaly DetectionModel Optimization	CodeCode Available	1
HCL-MTSAD: Hierarchical Contrastive Consistency Learning for Accurate Detection of Industrial Multivariate Time Series Anomalies	Apr 12, 2024	Anomaly DetectionContrastive Learning	—Unverified	0
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection	Apr 12, 2024	Anomaly DetectionDomain Adaptation	—Unverified	0
TSLANet: Rethinking Transformers for Time Series Representation Learning	Apr 12, 2024	Anomaly DetectionComputational Efficiency	CodeCode Available	3
Context-aware Video Anomaly Detection in Long-Term Datasets	Apr 11, 2024	Anomaly DetectionContrastive Learning	—Unverified	0
Anomaly Detection in Power Grids via Context-Agnostic Learning	Apr 11, 2024	Anomaly Detection	—Unverified	0
Language Models Meet Anomaly Detection for Better Interpretability and Generalizability	Apr 11, 2024	Anomaly DetectionLanguage Modelling	CodeCode Available	0

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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