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

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Showing 3926–3950 of 4856 papers

Title	Date	Tasks	Status
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories	Jul 28, 2020	Anomaly DetectionAutonomous Driving	—Unverified
Anomaly detection in Context-aware Feature Models	Jul 28, 2020	Anomaly Detection	—Unverified
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning	Jul 25, 2020	Anomaly DetectionFault Diagnosis	—Unverified
Insightful Assistant: AI-compatible Operation Graph Representations for Enhancing Industrial Conversational Agents	Jul 25, 2020	Anomaly Detection	—Unverified
Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection	Jul 25, 2020	Anomaly DetectionGenerative Adversarial Network	—Unverified
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction	Jul 24, 2020	Anomaly DetectionGenerative Adversarial Network	—Unverified
Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations	Jul 24, 2020	Anomaly Detection	—Unverified
Human Abnormality Detection Based on Bengali Text	Jul 21, 2020	Anomaly Detection	—Unverified
Anomaly Awareness	Jul 20, 2020	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Unsupervised anomaly detection for discrete sequence healthcare data	Jul 20, 2020	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach	Jul 19, 2020	Anomaly DetectionFederated Learning	—Unverified
DDR-ID: Dual Deep Reconstruction Networks Based Image Decomposition for Anomaly Detection	Jul 18, 2020	Adversarial AttackAdversarial Attack Detection	—Unverified
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization	Jul 18, 2020	Anomaly DetectionDomain Generalization	—Unverified
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation	Jul 18, 2020	Anomaly DetectionBenchmarking	—Unverified
Anomaly Detection in Unsupervised Surveillance Setting Using Ensemble of Multimodal Data with Adversarial Defense	Jul 17, 2020	Adversarial AttackAdversarial Defense	—Unverified
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation	Jul 16, 2020	Anomaly Detection	—Unverified
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection	Jul 14, 2020	Anomaly DetectionDecoder	—Unverified
ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied to insider threat detection at fine-grained level	Jul 14, 2020	Anomaly DetectionFeature Engineering	—Unverified
ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection	Jul 10, 2020	Anomaly DetectionOpen Set Learning	—Unverified
Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends	Jul 9, 2020	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Learning Retrospective Knowledge with Reverse Reinforcement Learning	Jul 9, 2020	Anomaly Detectionreinforcement-learning	—Unverified
Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network	Jul 9, 2020	Anomaly DetectionSemi-supervised Anomaly Detection	—Unverified
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network	Jul 8, 2020	Anomaly DetectionAstronomy	CodeCode Available
Deep Learning for Anomaly Detection: A Review	Jul 6, 2020	Anomaly DetectionDeep Learning	—Unverified
Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding	Jul 3, 2020	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available

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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