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 2901–2925 of 4856 papers

Title	Date	Tasks	Status
Surface abnormality detection in medical and inspection systems using energy variations in co-occurrence matrixes	Oct 14, 2022	Anomaly Detection	—Unverified
Multi-Task Learning based Video Anomaly Detection with Attention	Oct 14, 2022	Anomaly DetectionMulti-Task Learning	—Unverified
Reconstructed Student-Teacher and Discriminative Networks for Anomaly Detection	Oct 14, 2022	Anomaly Detection	—Unverified
VHetNets for AI and AI for VHetNets: An Anomaly Detection Case Study for Ubiquitous IoT	Oct 14, 2022	Anomaly DetectionIntrusion Detection	—Unverified
A Survey on Explainable Anomaly Detection	Oct 13, 2022	Anomaly DetectionSurvey	—Unverified
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection	Oct 13, 2022	Anomaly DetectionBenchmarking	CodeCode Available
Anomaly detection in dynamic networks	Oct 13, 2022	Anomaly DetectionTime Series	CodeCode Available
Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans	Oct 12, 2022	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified
Anomaly Detection via Federated Learning	Oct 12, 2022	Anomaly DetectionFederated Learning	—Unverified
Detection of fraudulent financial papers by picking a collection of characteristics using optimization algorithms and classification techniques based on squirrels	Oct 12, 2022	Anomaly Detectionfeature selection	—Unverified
InQMAD: Incremental Quantum Measurement Anomaly Detection	Oct 11, 2022	Anomaly DetectionDensity Estimation	CodeCode Available
Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learning	Oct 11, 2022	Anomaly DetectionMulti-agent Reinforcement Learning	CodeCode Available
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations	Oct 9, 2022	Anomaly Detectioncounterfactual	—Unverified
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!	Oct 6, 2022	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified
Anomaly detection using data depth: multivariate case	Oct 6, 2022	Anomaly Detection	—Unverified
Null Hypothesis Test for Anomaly Detection	Oct 5, 2022	Anomaly Detection	CodeCode Available
Improved Anomaly Detection by Using the Attention-Based Isolation Forest	Oct 5, 2022	Anomaly Detection	CodeCode Available
Multiple Instance Learning for Detecting Anomalies over Sequential Real-World Datasets	Oct 4, 2022	Anomaly DetectionMultiple Instance Learning	—Unverified
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning	Oct 4, 2022	Anomaly DetectionContrastive Learning	CodeCode Available
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback	Oct 1, 2022	Anomaly DetectionContrastive Learning	CodeCode Available
A Lightweight Yet Robust Approach to Textual Anomaly Detection	Oct 1, 2022	Anomaly Detection	—Unverified
Image-Based Detection of Modifications in Gas Pump PCBs with Deep Convolutional Autoencoders	Sep 30, 2022	Anomaly DetectionAnomaly Segmentation	CodeCode Available
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges	Sep 29, 2022	Anomaly DetectionGraph Anomaly Detection	—Unverified
Cardiotocography Signal Abnormality Detection based on Deep Unsupervised Models	Sep 29, 2022	Anomaly Detection	—Unverified
Anomaly detection optimization using big data and deep learning to reduce false-positive	Sep 28, 2022	Anomaly DetectionIntrusion Detection	—Unverified

Show:10 25 50

← PrevPage 117 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