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 621–630 of 4856 papers

Title	Date	Tasks	Status	Hype
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection	Dec 6, 2024	Anomaly DetectionBayesian Inference	—Unverified	0
SCADE: Scalable Framework for Anomaly Detection in High-Performance System	Dec 5, 2024	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0
Towards Zero-shot 3D Anomaly Localization	Dec 5, 2024	3D Anomaly DetectionAnomaly Detection	—Unverified	0
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data	Dec 5, 2024	Anomaly DetectionSelf-Supervised Learning	—Unverified	0
CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP	Dec 5, 2024	Anomaly ClassificationAnomaly Detection	CodeCode Available	0
ONER: Online Experience Replay for Incremental Anomaly Detection	Dec 5, 2024	Anomaly Detection	—Unverified	0
UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection	Dec 4, 2024	Anomaly DetectionPatch Matching	—Unverified	0
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection	Dec 4, 2024	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	1
State Frequency Estimation for Anomaly Detection	Dec 4, 2024	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0
Sifting through the haystack -- efficiently finding rare animal behaviors in large-scale datasets	Dec 4, 2024	Anomaly Detection	CodeCode Available	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	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
7	DDAD	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	PBAS	Detection AUROC	99.8	—	Unverified
10	HETMM	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	DDAD	Detection AUROC	98.9	—	Unverified
5	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	INP-Former ViT-B (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