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 341–350 of 4856 papers

Title	Date	Tasks	Status	Hype
QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection	Dec 11, 2023	Anomaly DetectionDamaged Building Detection	CodeCode Available	1
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs	Dec 7, 2023	AnatomyAnomaly Detection	CodeCode Available	1
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping	Dec 7, 2023	Anomaly Detection	CodeCode Available	1
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection	Dec 5, 2023	Anomaly DetectionTime Series	CodeCode Available	1
Unsupervised Anomaly Detection using Aggregated Normative Diffusion	Dec 4, 2023	Anomaly DetectionDenoising	CodeCode Available	1
Eliciting Latent Knowledge from Quirky Language Models	Dec 2, 2023	Anomaly DetectionMath	CodeCode Available	1
BatchNorm-based Weakly Supervised Video Anomaly Detection	Nov 26, 2023	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network	Nov 25, 2023	3D Anomaly DetectionAnomaly Detection	CodeCode Available	1
Set Features for Anomaly Detection	Nov 24, 2023	Anomaly DetectionDensity Estimation	CodeCode Available	1
Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter View	Nov 24, 2023	Anomaly DetectionFew-Shot 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