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 1101–1110 of 4856 papers

Title	Date	Tasks	Status
Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder	Feb 8, 2025	Anomaly DetectionDiagnostic	—Unverified
Active Learning for Network Intrusion Detection	Apr 2, 2019	Active LearningAnomaly Detection	—Unverified
Attention Guided Anomaly Localization in Images	Nov 19, 2019	Anomaly DetectionAnomaly Localization	—Unverified
Attention-GAN for Anomaly Detection: A Cutting-Edge Approach to Cybersecurity Threat Management	Feb 25, 2024	Anomaly DetectionData Augmentation	—Unverified
Anomaly detection and regime searching in fitness-tracker data	Jan 1, 2021	Activity RecognitionAnomaly Detection	—Unverified
Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection	Jun 7, 2024	Anomaly Detection	—Unverified
Attentioned Convolutional LSTM InpaintingNetwork for Anomaly Detection in Videos	Nov 26, 2018	Anomaly DetectionCommon Sense Reasoning	—Unverified
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing	Jan 9, 2023	Anomaly DetectionBenchmarking	—Unverified
Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems	Jul 8, 2022	Active LearningAnomaly Detection	—Unverified
Attention Boosted Autoencoder for Building Energy Anomaly Detection	Mar 28, 2023	Anomaly Detection	—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	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