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 181–190 of 4856 papers

Title	Date	Tasks	Status	Hype
System Log Parsing with Large Language Models: A Review	Apr 7, 2025	Anomaly DetectionLog Parsing	CodeCode Available	1
Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection	Apr 4, 2025	Anomaly Detection	CodeCode Available	1
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection	Apr 3, 2025	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1
VADMamba: Exploring State Space Models for Fast Video Anomaly Detection	Mar 27, 2025	Anomaly DetectionComputational Efficiency	CodeCode Available	1
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection	Mar 27, 2025	Anomaly DetectionDecoder	CodeCode Available	1
The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection	Mar 27, 2025	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1
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
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data	Mar 14, 2025	Anomaly DetectionDecoder	CodeCode Available	1
STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications	Mar 11, 2025	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1
Learning Decision Trees as Amortized Structure Inference	Mar 10, 2025	Anomaly DetectionDeep Reinforcement Learning	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