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 311–320 of 4856 papers

Title	Date	Tasks	Status	Hype
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection	Mar 18, 2025	Anomaly DetectionKnowledge Distillation	CodeCode Available	0
Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing Process	Mar 17, 2025	Anomaly Detection	CodeCode Available	2
MFP-CLIP: Exploring the Efficacy of Multi-Form Prompts for Zero-Shot Industrial Anomaly Detection	Mar 17, 2025	Anomaly DetectionForm	—Unverified	0
Enforcing Cybersecurity Constraints for LLM-driven Robot Agents for Online Transactions	Mar 17, 2025	Anomaly Detection	—Unverified	0
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks	Mar 17, 2025	Anomaly DetectionOptical Flow Estimation	CodeCode Available	1
U2AD: Uncertainty-based Unsupervised Anomaly Detection Framework for Detecting T2 Hyperintensity in MRI Spinal Cord	Mar 17, 2025	Anomaly DetectionLesion Detection	CodeCode Available	0
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection	Mar 16, 2025	Anomaly DetectionModel Selection	CodeCode Available	0
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning	Mar 15, 2025	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	0
Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments	Mar 15, 2025	Anomaly DetectionCloud Computing	—Unverified	0
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data	Mar 14, 2025	Anomaly DetectionDecoder	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	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