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 261–270 of 4856 papers

Title	Date	Tasks	Status	Hype
Federated PCA on Grassmann Manifold for IoT Anomaly Detection	Jul 10, 2024	Anomaly DetectionIntrusion Detection	CodeCode Available	1
ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks	Jul 8, 2024	Anomaly DetectionCode Generation	CodeCode Available	1
Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset	Jul 5, 2024	Action RecognitionAnomaly Detection	CodeCode Available	1
SOWA: Adapting Hierarchical Frozen Window Self-Attention to Visual-Language Models for Better Anomaly Detection	Jul 4, 2024	Anomaly Detection	CodeCode Available	1
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis	Jul 2, 2024	Anomaly DetectionFault Diagnosis	CodeCode Available	1
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection	Jul 2, 2024	Anomaly DetectionContrastive Learning	CodeCode Available	1
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models	Jun 30, 2024	Anomaly Detection	CodeCode Available	1
The OPS-SAT benchmark for detecting anomalies in satellite telemetry	Jun 29, 2024	Anomaly Detection	CodeCode Available	1
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection	Jun 28, 2024	Anomaly DetectionTime Series	CodeCode Available	1
Looking 3D: Anomaly Detection with 2D-3D Alignment	Jun 27, 2024	3D Anomaly DetectionAnomaly Detection	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	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