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 1171–1180 of 4856 papers

Title	Date	Tasks	Status	Hype
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2	May 23, 2024	Anomaly DetectionAnomaly Segmentation	CodeCode Available	2
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection	May 23, 2024	Anomaly DetectionMulti-class Anomaly Detection	CodeCode Available	3
GNN-based Anomaly Detection for Encoded Network Traffic	May 22, 2024	Anomaly DetectionTime Series	—Unverified	0
Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation	May 22, 2024	Anomaly DetectionDefect Detection	CodeCode Available	1
LogRCA: Log-based Root Cause Analysis for Distributed Services	May 22, 2024	Anomaly Detection	—Unverified	0
Detecting Gait Abnormalities in Foot-Floor Contacts During Walking Through Footstep-Induced Structural Vibrations	May 22, 2024	Anomaly Detection	—Unverified	0
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior	May 22, 2024	Anomaly Detection	—Unverified	0
TauAD: MRI-free Tau Anomaly Detection in PET Imaging via Conditioned Diffusion Models	May 21, 2024	Anomaly DetectionAnomaly Localization	—Unverified	0
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image	May 21, 2024	Anomaly DetectionGenerative Adversarial Network	CodeCode Available	1
Multimodal video analysis for crowd anomaly detection using open access tourism cameras	May 21, 2024	Anomaly DetectionDecision Making	—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