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 3026–3050 of 4856 papers

Title	Date	Tasks	Status	Hype
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network	Dec 23, 2021	Anomaly Detectionfeature selection	—Unverified	0
Bottom-up approaches for multi-person pose estimation and it's applications: A brief review	Dec 22, 2021	Anomaly DetectionMulti-Person Pose Estimation	—Unverified	0
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types	Dec 21, 2021	Anomaly DetectionClustering	CodeCode Available	1
Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detection	Dec 20, 2021	Anomaly Detection	—Unverified	0
Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging	Dec 20, 2021	Anomaly DetectionDeep Learning	—Unverified	0
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation	Dec 19, 2021	Anomaly DetectionKnowledge Distillation	CodeCode Available	1
A Deep Learning Approach for Ontology Enrichment from Unstructured Text	Dec 16, 2021	Anomaly DetectionDeep Learning	—Unverified	0
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization	Dec 16, 2021	3D Anomaly Detection and SegmentationAnomaly Detection	CodeCode Available	1
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data	Dec 15, 2021	Anomaly DetectionAstronomy	—Unverified	0
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)	Dec 14, 2021	Anomaly DetectionExplainable artificial intelligence	—Unverified	0
Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection	Dec 14, 2021	Anomaly DetectionComputational Efficiency	—Unverified	0
Approaches Toward Physical and General Video Anomaly Detection	Dec 14, 2021	Anomaly DetectionDensity Estimation	CodeCode Available	0
Out-of-Distribution Detection Without Class Labels	Dec 14, 2021	Anomaly DetectionClustering	—Unverified	0
Deep learning-based defect detection of metal parts: evaluating current methods in complex conditions	Dec 13, 2021	Anomaly DetectionDefect Detection	—Unverified	0
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection	Dec 13, 2021	Anomaly DetectionAttribute	CodeCode Available	0
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning	Dec 12, 2021	Anomaly DetectionCross-Domain Few-Shot	—Unverified	0
DeepFIB: Self-Imputation for Time Series Anomaly Detection	Dec 12, 2021	Anomaly DetectionAnomaly Localization	—Unverified	0
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection	Dec 10, 2021	Anomaly DetectionEvolutionary Algorithms	—Unverified	0
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks	Dec 10, 2021	Anomaly DetectionGraph Neural Network	CodeCode Available	1
Multimedia Datasets for Anomaly Detection: A Review	Dec 10, 2021	Anomaly Detectionobject-detection	—Unverified	0
Discrete neural representations for explainable anomaly detection	Dec 10, 2021	Anomaly DetectionObject	—Unverified	0
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures	Dec 9, 2021	Adversarial RobustnessAnomaly Detection	CodeCode Available	1
Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detection	Dec 9, 2021	Anomaly DetectionEnsemble Learning	—Unverified	0
Transformaly -- Two (Feature Spaces) Are Better Than One	Dec 8, 2021	Anomaly DetectionVocal Bursts Valence Prediction	CodeCode Available	1
A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos	Dec 8, 2021	Anomaly DetectionAnomaly Detection In Surveillance Videos	—Unverified	0

Show:10 25 50

← PrevPage 122 of 195Next →

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