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 361–370 of 4856 papers

Title	Date	Tasks	Status	Hype
Meta Learning-Driven Iterative Refinement for Robust Anomaly Detection in Industrial Inspection	Mar 3, 2025	Anomaly DetectionMeta-Learning	—Unverified	0
Fence Theorem: Preprocessing is Dual-Objective Semantic Structure Isolator in 3D Anomaly Detection	Mar 3, 2025	3D Anomaly DetectionAnomaly Detection	—Unverified	0
Language-Assisted Feature Transformation for Anomaly Detection	Mar 3, 2025	Anomaly Detection	CodeCode Available	0
Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos	Mar 2, 2025	Anomaly DetectionFew-Shot Learning	—Unverified	0
CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems	Mar 2, 2025	Anomaly Detection	—Unverified	0
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition	Mar 1, 2025	Anomaly DetectionGraph Anomaly Detection	—Unverified	0
UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection	Feb 28, 2025	Anomaly DetectionImage Classification	CodeCode Available	2
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity	Feb 28, 2025	Anomaly DetectionDomain Adaptation	—Unverified	0
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection	Feb 28, 2025	Anomaly DetectionFederated Learning	—Unverified	0
Detection of anomalies in cow activity using wavelet transform based features	Feb 28, 2025	Anomaly DetectionTime Series	—Unverified	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