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 3771–3780 of 4856 papers

Title	Date	Tasks	Status
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection	Jul 18, 2024	Anomaly Detectioncounterfactual	—Unverified
MotifDisco: Motif Causal Discovery For Time Series Motifs	Sep 23, 2024	Anomaly DetectionCausal Discovery	—Unverified
Motion-Aware Feature for Improved Video Anomaly Detection	Jul 24, 2019	Action RecognitionAnomaly Detection	—Unverified
movie2trailer: Unsupervised trailer generation using Anomaly detection	Feb 5, 2020	Anomaly Detection	—Unverified
Moving Metric Detection and Alerting System at eBay	Apr 6, 2020	Anomaly DetectionRetrieval	—Unverified
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection	Oct 17, 2023	Anomaly DetectionGraph Attention	—Unverified
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark	Mar 29, 2024	Anomaly DetectionHuman Detection	—Unverified
MTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network	Nov 4, 2023	Anomaly DetectionGenerative Adversarial Network	—Unverified
MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning	Apr 9, 2025	Anomaly DetectionAnomaly Segmentation	—Unverified
Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions	Oct 10, 2021	Anomaly DetectionAnomaly Detection In Surveillance Videos	—Unverified

Show:10 25 50

← PrevPage 378 of 486Next →

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	UniNet	Detection AUROC	99.9	—	Unverified
5	GLASS	Detection AUROC	99.9	—	Unverified
6	PBAS	Detection AUROC	99.8	—	Unverified
7	HETMM	Detection AUROC	99.8	—	Unverified
8	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	EfficientAD (early stopping)	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	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	DDAD	Detection AUROC	98.9	—	Unverified
7	GLASS	Detection AUROC	98.8	—	Unverified
8	DiffusionAD	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